Research Interests Statistical Applications in Genetics and Molecular Biology

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英国统计学留学推荐信范文

[Your Position][Your Institution][Institution Address][City, Postcode][Email Address][Phone Number][Date][Recipient's Name][Recipient's Position][Department Name][University Name][University Address][City, Postcode]Dear [Recipient's Name],I am writing to enthusiastically recommend [Student's Name] for admission to your esteemed university's Master's program in Statistics. As [Student's Name]'s professor and mentor at [Your Institution], I have had the pleasure of observing her academic prowess, dedication, and passion for statistics over the past [Number] years. I am confident that [Student's Name] will excel in her studies at your institution and contribute significantly to the academic community.[Student's Name] has consistently demonstrated a strong foundation in mathematics and statistics throughout her undergraduate studies. She has excelled in courses such as Calculus, Linear Algebra, and Probability Theory, which have equipped her with the necessary skills to tackle complex statistical problems. Her performance in these courses has been exceptional, earning her a [Specific Award or Honor] in [Year].One of the qualities that distinguish [Student's Name] from her peers is her ability to think critically and creatively when approaching problems. She has a natural talent for identifying patterns and trends in data, which has allowed her to excel in both theoretical and practical aspects of statistics. In our course on Statistical Inference, [Student's Name] not only mastered the material but also developed innovative solutionsto real-world problems, demonstrating her ability to apply statistical concepts effectively.[Student's Name] is also a highly motivated and dedicated individual. She has consistently shown a strong work ethic, often going above and beyond to ensure she fully understands complex statistical concepts. Her dedication is further evident in her participation in various research projects, where she has played a pivotal role in designing and analyzing data. In our collaborative research project on [Specific Research Topic], [Student's Name] was instrumental in developing a novel statistical model that significantly improved the accuracy of our results. Her contributions to this project were invaluable, and she has since published a paper on our findings.Beyond her academic achievements, [Student's Name] is an excellent team player and possesses strong interpersonal skills. She has been an active member of our university's statistics club, where she has organized workshops and discussions to help her peers develop their statistical skills. Her ability to communicate complex ideas clearly and effectively has earned her the respect of her peers and faculty members alike.In conclusion, I have no doubt that [Student's Name] will thrive in your university's Master's program in Statistics. Her exceptional academic record, strong work ethic, and passion for statistics make her an ideal candidate for your program. I wholeheartedly recommend [Student's Name] for admission and believe that she will be an asset to your academic community.Please do not hesitate to contact me if you require any further information or clarification regarding [Student's Name]'s qualifications.I am confident that she will make a significant contribution to your institution and the field of statistics.Yours sincerely, [Your Name][Your Position] [Your Institution]。

撰写英文论文会用到的统计学词汇

众数(Mode) 普查(census)指数(Index) 问卷(Questionnaire)中位数(Median) 信度(Reliability)百分比(Percentage) 母群体(Population)信赖水准(Confidence level) 观察法(Observational Survey)假设检定(Hypothesis Testing) 综合法(Integrated Survey)卡方检定(Chi-square Test) 雪球抽样(Snowball Sampling)差距量表(Interval Scale) 序列偏差(Series Bias)类别量表(Nominal Scale) 次级资料(Secondary Data)顺序量表(Ordinal Scale) 抽样架构(Sampling frame)比率量表(Ratio Scale) 集群抽样(Cluster Sampling)连检定法(Run Test) 便利抽样(Convenience Sampling)符号检定(Sign Test) 抽样调查(Sampling Sur)算术平均数(Arithmetic Mean) 非抽样误差(non-sampling error) 展示会法(Display Survey)调查名词准确效度(Criterion-Related Validity)元素(Element) 邮寄问卷法(Mail Interview)样本(Sample) 信抽样误差(Sampling error)效度(Validity) 封闭式问题(Close Question)精确度(Precision) 电话访问法(Telephone Interview)准确度(Validity) 随机抽样法(Random Sampling)实验法(Experiment Survey)抽样单位(Sampling unit) 资讯名词市场调查(Marketing Research) 决策树(Decision Trees)容忍误差(Tolerated erro) 资料采矿(Data Mining)初级资料(Primary Data) 时间序列(Time-Series Forecasting)目标母体(Target Population) 回归分析(Regression)抽样偏差(Sampling Bias) 趋势分析(Trend Analysis)抽样误差(sampling error) 罗吉斯回归(Logistic Regression)架构效度(Construct Validity) 类神经网络(Neural Network)配额抽样(Quota Sampling) 无母数统计检定方法(Non-Parametric Test)人员访问法(Interview) 判别分析法(Discriminant Analysis)集群分析法(cluster analysis) 规则归纳法(Rules Induction)内容效度(Content Validity) 判断抽样(Judgment Sampling)开放式问题(Open Question) OLAP(Online Analytical Process)分层随机抽样(Stratified Random sampling) 资料仓储(Data Warehouse)非随机抽样法(Nonrandom Sampling) 知识发现(Knowledge Discovery [1]存活分析: Survival analysis时间序列分析: Time series analysis线性模式: Linear models品质工程: Quality engineering机率论: Probability theory统计计算: Statistical computing统计推论: Statistical inference随机过程: Stochastic processes决策理论: Decision theory离散分析: Discrete analysis数理统计: Mathematical statisticspopulation 母体sample 样本census 普查sampling 抽样quantitative 量的qualitative/categorical质的discrete 离散的continuous 连续的population parameters 母体参数sample statistics 样本统计量descriptive statistics 叙述统计学inferential/inductive statistics 推论 ...抽样调查（sampliing survey单纯随机抽样（simple random sampling系统抽样（systematic sampling分层抽样（stratified sampling整群抽样（cluster sampling多级抽样（multistage sampling常态分配(Parametric Statistics)无母数统计学(Nonparametric Statistics) 实验设计(Design of Experiment)参数(Parameter)Statistics 统计学Population 母体Sample 样本Data analysis 资料分析Statistical table 统计表Statistical chart 统计图Pie chart 圆饼图Stem-and-leaf display 茎叶图Box plot 盒须图Histogram 直方图Bar Chart 长条图Polygon 次数多边图Ogive 肩形图Descriptive statistics 叙述统计学Expectation 期望值Mode 众数Mean 平均数Variance 变异数Standard deviation 标准差Standard error 标准误Covariance matrix 共变异数矩阵Inferential statistics 推论统计学Point estimation 点估计Interval estimation 区间估计Confidence interval 信赖区间Confidence coefficient 信赖系数Testing statistical hypothesis 统计假设检定Regression analysis 回归分析Analysis of variance 变异数分析Correlation coefficient 相关系数Sampling survey 抽样调查Census 普查Sampling 抽样Reliability 信度Validity 效度Sampling error 抽样误差Non-sampling error 非抽样误差Random sampling 随机抽样Simple random sampling 简单随机抽样法Stratified sampling 分层抽样法Cluster sampling 群集抽样法Systematic sampling 系统抽样法Two-stage random sampling 两段随机抽样法Convenience sampling 便利抽样Quota sampling 配额抽样Snowball sampling 雪球抽样Nonparametric statistics 无母数统计The sign test 等级检定Wilcoxon signed rank tests 魏克森讯号等级检定Wilcoxon rank sum tests 魏克森等级和检定Run test 连检定法Discrete uniform densities 离散的均匀密度Binomial densities 二项密度Hypergeometric densities 超几何密度Poisson densities 卜松密度Geometric densities 几何密度Negative binomial densities 负二项密度Continuous uniform densities 连续均匀密度Normal densities 常态密度Exponential densities 指数密度Gamma densities 伽玛密度Beta densities 贝他密度Multivariate analysis 多变量分析Principal components 主因子分析Discrimination analysis 区别分析Cluster analysis 群集分析Factor analysis 因素分析Survival analysis 存活分析Time series analysis 时间序列分析Linear models 线性模式Quality engineering 品质工程Probability theory 机率论Statistical computing 统计计算Statistical inference 统计推论Stochastic processes 随机过程Decision theory 决策理论Discrete analysis 离散分析Mathematical statistics 数理统计统计学: Statistics母体: Population样本: Sample资料分析: Data analysis叙述统计学: Descriptive statistics 期望值: Expectation众数: Mode平均数: Mean变异数: Variance标准差: Standard deviation标准误: Standard error共变异数矩阵: Covariance matrix推论统计学: Inferential statistics点估计: Point estimation区间估计: Interval estimation信赖区间: Confidence interval信赖系数: Confidence coefficient统计假设检定: Testing statistical hypothesis 回归分析: Regression analysis变异数分析: Analysis of variance相关系数: Correlation coefficient抽样调查: Sampling survey普查: Census抽样: Sampling信度: Reliability效度: Validity抽样误差: Sampling error非抽样误差: Non-sampling error随机抽样: Random sampling简单随机抽样法: Simple random sampling 分层抽样法: Stratified sampling群集抽样法: Cluster sampling系统抽样法: Systematic sampling两段随机抽样法: Two-stage random sampling便利抽样: Convenience sampling配额抽样: Quota sampling雪球抽样: Snowball sampling无母数统计: Nonparametric statistics等级检定: The sign test魏克森讯号等级检定: Wilcoxon signed rank tests 魏克森等级和检定: Wilcoxon rank sum tests连检定法: Run test离散的均匀密度: Discrete uniform densities二项密度: Binomial densities超几何密度: Hypergeometric densities卜松密度: Poisson densities几何密度: Geometric densities负二项密度: Negative binomial densities连续均匀密度: Continuous uniform densities常态密度: Normal densities指数密度: Exponential densities伽玛密度: Gamma densities贝他密度: Beta densities多变量分析: Multivariate analysis 主因子分析: Principal components 区别分析: Discrimination analysis 群集分析: Cluster analysis因素分析: Factor analysisWelcome To Download !!!欢迎您的下载，资料仅供参考！。

你如何看待统计学英文作文

你如何看待统计学英文作文英文：As for me, I think statistics is a very important subject. It helps us to make sense of the world around us by organizing and analyzing data. For example, in my job as a marketing analyst, I use statistics to understand consumer behavior and make predictions about future trends. Without statistics, I would just be guessing, but with it, I can make informed decisions that benefit my company.I also believe that statistics is a crucial part of scientific research. When conducting experiments, it's essential to use statistical methods to analyze the results and draw meaningful conclusions. For instance, in a recent study I was involved in, we used statistical tests to determine whether a new drug was effective in treating a certain disease. The results were clear and convincing, thanks to the rigorous statistical analysis we employed.In addition, statistics is also widely used in everyday life. Whether it's evaluating the performance of a sports team, tracking sales figures for a small business, or understanding the risks and benefits of a medical treatment, statistics is everywhere. Personally, I find it fascinating how statistics can reveal patterns and trends that mightnot be obvious at first glance.中文：对我来说，我觉得统计学是一个非常重要的学科。

计量经济学英汉术语名词对照及解释

计量经济学英汉术语名词对照及解释A校正R2（Adjusted R-Squared）：多元回归分析中拟合优度的量度，在估计误差的方差时对添加的解释变量用一个自由度来调整。

对立假设（Alternative Hypothesis）：检验虚拟假设时的相对假设。

AR（1）序列相关（AR(1) Serial Correlation）：时间序列回归模型中的误差遵循AR （1）模型。

渐近置信区间（Asymptotic Confidence Interval）：大样本容量下近似成立的置信区间。

渐近正态性（Asymptotic Normality）：适当正态化后样本分布收敛到标准正态分布的估计量。

渐近性质（Asymptotic Properties）：当样本容量无限增长时适用的估计量和检验统计量性质。

渐近标准误（Asymptotic Standard Error）：大样本下生效的标准误。

渐近t 统计量（Asymptotic t Statistic）：大样本下近似服从标准正态分布的t统计量。

渐近方差（Asymptotic Variance）：为了获得渐近标准正态分布，我们必须用以除估计量的平方值。

渐近有效（Asymptotically Effcient）：对于服从渐近正态分布的一致性估计量，有最小渐近方差的估计量。

渐近不相关（Asymptotically Uncorrelated）：时间序列过程中，随着两个时点上的随机变量的时间间隔增加，它们之间的相关趋于零。

衰减偏误（Attenuation Bias）：总是朝向零的估计量偏误，因而有衰减偏误的估计量的期望值小于参数的绝对值。

自回归条件异方差性（Autoregressive Conditional Heteroskedasticity, ARCH）：动态异方差性模型，即给定过去信息，误差项的方差线性依赖于过去的误差的平方。

一阶自回归过程[AR（1）]（Autoregressive Process of Order One [AR(1)]）：一个时间序列模型，其当前值线性依赖于最近的值加上一个无法预测的扰动。

Statement of Research Interests

Sameer AjmaniStatement of Research InterestsJanuary5,2004I am interested in improving the robustness and security of distributed systems,especially by creating better programming models and runtime environments for building and maintaining such systems.Past and Current ResearchMy research to date has included distributed algorithms,machine learning,security,and systems.I will highlight four important research projects that I have been conducting in the last few years:a trusted ex-ecution service,a library for certiﬁcate management,a peer-to-peer certiﬁcate distribution system,and a software upgrade infrastructure for distributed systems.For my master’s research,I designed and implemented a service that enables mutually-distrusting parties to safely share private data in a computation by hosting it on a trusted execution platform[2,5].The service uses static analysis to ensure that a computation cannot leak information except via designated channels. These channels are labeled with symbolic names for the participants in the computation(e.g.,“auctioneer”and“bidder”),and the service authenticates these channels by translating their labels into public keys via the SDSI public key infrastructure.Evaluation of applications running on the service,such as tax preparation and auction software,showed that the programming model isﬂexible and that performance is dominated by the time required to do authentication.By bridging the gap between the programming model and the runtime environment,the trusted execution service helps developers avoid unintentional information leaks.When I was developing the trusted execution service,Java support for SDSI was weak,so I created a new library called JSDSI[1]that implements standard Java Security APIs for certiﬁcate management.JSDSI includes new algorithms that I developed for discovering SDSI certiﬁcate chains in distributed systems. JSDSI is publicly available on SourceForge and is used by researchers worldwide.One of the challenges in using any public key infrastructure is locating the required certiﬁcates efﬁ-ciently,since they may be distributed across nodes in the network.To address this challenge,I developed ConChord,a peer-to-peer SDSI certiﬁcate storage system[3].ConChord simpliﬁes the process of locating the information needed to make authentication decisions by allowing cooperating nodes to maintain an in-dex over a very large set of certiﬁcates.Evaluation showed that ConChord balances load effectively and reduces the latency of certiﬁcate discovery over non-cooperative designs.For my PhD research,I am developing an infrastructure called Upstart whose purpose is to automate the process of upgrading distributed systems[4].Long-lived systems need software upgrades toﬁx bugs,add features,and improve performance.These systems must tolerate node failures and recoveries,so we model a node upgrade as a node restart.But this can lead to problems:if too many nodes upgrade at once,then the system as a whole may fail.But if node upgrades are spread out over time,then nodes running different versions may need to communicate,and they may not understand one another.We solve these problems by delegating two tasks to the developer.First,the developer deﬁnes a schedule for when nodes should upgrade,e.g.,“upgrade replicas round robin”or“upgrade servers before clients.”We simplify this task by providing a library of common scheduling functions and by enabling the developer to monitor and control upgrade progress.Second,the developer deﬁnes adapters that enable communication between nodes running different versions.The developer only needs to deﬁne adapters for the current and new versions;communication with nodes running older versions is handled automatically via chains of adapters.We simplify this task further by providing a program that generates skeleton code for adapters.Once the developer hasﬁlled inthe details,Upstart automatically disseminates and installs the upgrade.Nodes verify the authenticity of an upgrade before acting on it,so malicious parties cannot corrupt a system via the upgrade infrastructure.Understanding the dependences between nodes is vital to making an upgrade run smoothly.For example, an upgrade schedule must limit the number of service replicas that upgrade simultaneously,or else nodes that depend on that service may fail.An adapter must implement the speciﬁcation expected by the clients of the node,or else the assumptions made by the clients may be violated.We help programmers understand these issues by deﬁning criteria for good scheduling functions and adapters,drawing on behavioral subtyping theory and abstract data models as needed.I am evaluating a prototype of Upstart on several upgrade scenarios.Initial results are promising:the up-grade infrastructure has low overhead and successfully disseminates and installs new software and adapters.I plan to explore a variety of enhancements and to evaluate a large-scale deployment on PlanetLab. Future DirectionsShort term,I am interested in doing further work on software upgrades.I would like to integrate the upgrade infrastructure with a distributed component framework like J2EE so that systems developed in the framework can be upgraded easily.An interesting question is how to deal with upgrades that affect not whole classes of nodes(like“all servers”)but rather subobjects within nodes or subsystems that span nodes. This can be done by extending the upgrade infrastructure to work at multiple levels within a system,but careful design is needed to avoid introducing additional overhead to handle this generalization.I am eager to investigate this and other areas of this work.Long term,I want to improve how people build and maintain distributed systems,especially by creating better programming models and runtime environments.Software attestation,which makes it possible to verify what software is running on a remote node,enables intriguing new possibilities in system manage-ment.I envision a widespread runtime infrastructure that supports multiple,possibly mutually-distrusting, distributed systems on the same set of physical nodes.These systems can verify the infrastructure via attes-tation,share data safely via mutually-trusted computations,and reap the beneﬁts of a common infrastructure for monitoring and control.Systems like PlanetLab and Emulab are steps toward this vision,but much re-mains to be done,especially as the physical infrastructure is extended to include networks of small devices.There are plenty of unanswered questions in what I have described here,and I believe the answers will be interesting to researchers and industry developers alike.My work has always beneﬁted from collaboration with peers,and I look forward working with others whose goals are as ambitious as my own. References[1]Sameer Ajmani.JSDSI:A Java SPKI/SDSI implementation..[2]Sameer Ajmani.A trusted execution platform for multiparty computation.Master’s thesis,MIT,September2000.Also available as MIT technical report MIT-LCS-TR-846.[3]Sameer Ajmani,Dwaine E.Clarke,Chuang-Hue Moh,and Steven Richman.ConChord:CooperativeSDSI certiﬁcate storage and name resolution.In First International Workshop on Peer-to-Peer Systems, (IPTPS),number2429in Lecture Notes in Computer Science,pages141–154,March2002.[4]Sameer Ajmani,Barbara Liskov,and Liuba Shrira.Scheduling and simulation:How to upgrade dis-tributed systems.In Ninth Workshop on Hot Topics in Operating Systems(HotOS-IX),May2003. [5]Sameer Ajmani,Robert Morris,and Barbara Liskov.A trusted third-party computation service.Tech-nical Report MIT-LCS-TR-847,MIT,May2001.。

考研英语数据分析作文

考研英语数据分析作文English:Data analysis plays a crucial role in various fields, including scientific research, business decision-making, and government policy setting. By using statistical techniques and analytical tools, data analysts can extract valuable insights from large datasets and make informed decisions based on the patterns and trends they uncover. In scientific research, data analysis helps researchers draw conclusions, identify new phenomena, and validate hypotheses. In business, data analysis can optimize processes, enhance customer experiences, and increase profitability. Moreover, in government, data analysis can inform policy-making, improve public services, and address societal challenges. Overall, data analysis empowers individuals and organizations to make evidence-based decisions, drive innovation, and achieve better outcomes.Translated content:数据分析在各个领域都起着至关重要的作用，包括科学研究、商业决策和政府政策制定。

美国大学统计专业Top10名校

美国大学统计专业Top10名校来源：爱迪欧环球留学（）如何选择美国大学专业和院校?对于计划申请美国研究生的人来说，在选择美国大学专业和院校的时候，可能会遇到各种抉择，对于计划申请美国大学统计学专业的人来说，要想申请美国名校就要看看下面的申请信息，以便在制定留学规划的时候可以提前做好申请的准备和计划。

美国大学统计专业Top10名校概述：1.斯坦福大学(Stanford University)斯坦福大学统计学系近几年一直位居美国统计学专业排名的榜首。

系内目前拥有全职教授29人,在读研究生近140人。

统计学系的主要研究领域包括概率论(Probability)、生物统计(Biostatistics)、金融数学(Financial Mathematics)等,可授予统计学硕士(M.S. in Statistics)、金融数学硕士(M.S. in Financial Mathematics)和统计学博士(Ph.D. in Statistics)三类研究生学位。

国际学生申请斯坦福大学统计学系需要提交TOEFL成绩(iBT最低要求100分)和GRE成绩(包括GRE General Test成绩和GRE Subject Test的数学专项成绩)。

其他需要提交的材料有:完整的研究生院申请表格、本科成绩单、毕业证书与学位证书、三封推荐信、个人申请陈述和个人简历。

博士申请的截止日期为1月4日,硕士申请的截止日期为2月8日。

申请费为125美元。

网址:/2.加州大学伯克利分校(University of California at Berkeley)加州大学伯克利分校统计学系目前拥有全职教授43人,在读研究生近90人。

其主要研究领域包括理论统计学(Theoretical Statistics)、应用统计学(Applied Statistics)和概率论(Probability)三大研究领域,可授予统计学硕士(M.A. in Statistics)、统计学博士(Ph.D. in Statistics)、生物统计学硕士(M.A. in Biostatistics)和生物统计学博士(Ph.D. in Biostatistics)四类研究生学位。

研究报告学术价值英文

研究报告学术价值英文Research Report: Academic ValueIntroduction:This research report aims to highlight the academic value of a study conducted on the impact of social media on adolescent self-esteem. The study focuses on analyzing how social media platforms, such as Facebook and Instagram, influence the way adolescents perceive themselves and their self-esteem levels. The findings of this research will contribute to the existing body of knowledge in this field and provide valuable insights for researchers, educators, and parents.Methodology:The study used a mixed-methods approach, combining both quantitative and qualitative data collection techniques to achieve a comprehensive understanding of the topic. A quantitative survey was conducted among a sample of 500 adolescents, aged 13-18, to gather statistical data on their social media usage and self-esteem levels. In addition, qualitative interviews were conducted with a smaller sample of 30 participants to gain in-depth insights into their experiences and perceptions.Results:The findings of the study revealed a significant relationship between social media usage and adolescent self-esteem. The quantitative data showed that a higher frequency of social media use was associated with lower self-esteem levels. Furthermore, the qualitative interviews provided valuable narratives, illustrating the negative impact of social media on body image perception andemotional well-being among adolescents.Academic Value:This research report holds academic value in several ways. First, it contributes to the existing body of knowledge on the influence of social media on adolescent mental health. While previous studies have explored the general impact of social media on individuals' well-being, this study specifically focuses on the vulnerable age group of adolescents, providing unique insights into their experiences.Second, this study bridges the gap between quantitative and qualitative methodologies in the field of social media research. By adopting a mixed-methods approach, this research report offers a comprehensive understanding of the topic, enriching academic discussions and debates.Third, the findings of this study have practical implications for educators, parents, and mental health professionals. By highlighting the negative impact of social media on adolescent self-esteem, this research report calls for the development of educational programs and interventions to promote healthy media habits and enhance self-esteem among adolescents. Conclusion:In conclusion, this research report has significant academic value due to its contribution to the existing body of knowledge, its adoption of a mixed-methods approach, and its practical implications for various stakeholders. The findings of this study shed light on the influence of social media on adolescent self-esteem and provide a basis for future research and interventions in this area.。

关于统计学的英文介绍

关于统计学的英文介绍【中英文版】Introduction to StatisticsStatistics is a branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. It plays a crucial role in various fields, including economics, biology, psychology, and many more. By utilizing statistical methods, we can draw meaningful conclusions and make informed decisions based on the information extracted from the data.统计学是一门研究数据的收集、分析、解释、呈现和组织方法的数学分支。

它在经济学、生物学、心理学等多个领域发挥着至关重要的作用。

通过运用统计方法，我们可以从数据中提取有意义的信息，并据此做出明智的决策。

The beauty of statistics lies in its ability to simplify complex phenomena into quantifiable measures, enabling us to understand patterns, trends, and relationships within the data. Fundamental concepts such as mean, median, and mode help us summarize and describe data, while techniques like hypothesis testing and regression analysis allow us to make predictions and draw inferences.统计学的魅力在于它能将复杂的现象简化为可量化的指标，使我们能够理解数据中的模式、趋势和关系。

AP考试Statistics专业词汇中英文对照

AP考试Statistics专业词汇中英文对照据360教育集团介绍：以下是对AP的探索性数据、抽样和实验设计的词汇中英文对照。

Part 1 exploring data (探索性数据分析)Frequency-频数 relative frequency-相对频数cumulative frequency-累积频数symmetric distribution-对称分布left-skewed distribution- 左偏分布right-skewed distribution-右偏分布clusters and gaps-集群和缺口 outlier-异常值mean-均值 median-中位数 range-极差quartiles -四分位数 interquartile range- 四分位差percentile- 百分位数 standard deviation-标准差standardized scores(z-scores)-标准计分correlation coefficient-相关系数Pearson‘s correlation coefficient-皮尔逊相关系数 (这只是两种说法，实际等价) Least squares regression line--最小二乘回归线Dependent variable--因变量 independent variable--自变量Predicted value--预测值 the coefficient of determination-判定系数Influential observation-有影响的观测值Residual plot--残差图Part 2 sampling and experimentation(抽样和实验设计)Population--总体 sample--样本 sample survey--抽样调查Census-普查experiment -实验设计 observational study--观测研究biased sampling--有偏抽样judgmental sampling--判断抽样samples of convenience--方便样本volunteer samples--自愿样本simple random sampling--简单随机抽样systematic sampling--系统抽样stratified random sampling--分层抽样proportional sampling--比率抽样cluster sampling--整群抽样sampling error--抽样误差response bias--回答偏差nonresponse bias--无回答偏差undercoverage bias--覆盖不全偏差wording effect bias--措辞偏差experimental unit--实验单位 observational unit--观测单位confounding variable --混淆变量factor--因子 treatment--处理control group--控制组 placebo group--安慰剂组single-blind experiments--单盲实验double-blind experiments--双盲实验randomization--随机化blocking(block)--区组replication--复制，重复completely randomized design--完全随机设计randomized block design--随机区组设计matched-pairs design--配对设计Part 3 anticipating patternsProbability--概率 sample space--样本空间Tree diagram--树形图Impossible events--不可能事件Sure events--必然事件Complement of an event--事件的补事件Disjoint or mutually exclusive events--互斥事件Conditional event--条件事件 independence--独立Random variable--随机变量Discrete random variable--离散型随机变量Continuous random variable--连续性随机变量Probability distribution of a discrete random variable-离散型随机变量的概率分布Cumulative distribution function--累积分布函数Expected value--期望值，数学期望Probability distribution of a continuous random variable-离散型随机变量的概率分布Parameter--参数 statistics--统计量Sampling distribution--抽样分布Central limit theorem--中心极限定理Part 4 statistical inference 统计推断Estimation process--估计过程 estimate--估计值Point estimation--点估计 interval estimation--区间估计Margin of error--误差界限Confidence interval--置信区间 confidence level--置信水平Significance--显著性Statistical hypothesis--统计假设Null hypothesis--零假设，原假设Alternative hypothesis--备择假设Test statistics--检验统计量Type I error--第一类错误 type II error--第二类错误Rejection region--拒绝域 nonrejection region--非拒绝域Critical value--临界值Left-tailed test--左尾检验Right-tailed test--右尾检验Two-tailed test--双尾检验Sample size--样本容量Student’s t distribution--学生t分布Chi-square distribution--卡方分布Goodness of fit --拟合优度。

Research Interests

Yaxin Liu Mail:6636W.Willam Cannon DriveApartment824Austin,TX78735Email:yxliu@Phone:512-471-9709(O)512-731-3140(M)Fax:512-471-8885Homepage:/∼yxliuResearch Interests:My research interests are in the area of artiﬁcial intelligence and intelligent systems.My thesis work focuses on decision-theoretic planning under risk-sensitive planning objectives using MDPs and Utility Theory.My long-term research goal is to provide foundations for building autonomous agents that are able to act intelligently and provide valuable services to people in a complex environment involving uncertainty while taking into account preference structures of their human users.The related subareas of research include planning under uncertainty,deterministic planning,reinforcement learning,reasoning under uncertainty,search,decision theory,game theory,auctions and e-commerce,and optimization.Education:Georgia Institute of Technology College of Computing,Atlanta,Georgia.Ph.D.in Computer Science,May,2005.Dissertation:Decision-Theoretic Planning under Risk-Sensitive Planning Objectives.Advisor:Sven Koenig.Minor:Industrial and Systems Engineering(ISyE).Georgia Institute of Technology College of Computing,Atlanta,Georgia.M.S.in Computer Science,June,1999.Peking University Department of Computer Science and Technology,Beijing,China.M.S.in Computer Science,July,1997.Peking University Department of Computer Science and Technology,Beijing,China.B.S.in Computer Science,July,1994.Research and Working Experience:10/04—present Department of Computer Sciences,The University of Texas,Austin,TX.Research Scientist III.Researched behavior transfer in reinforcement learning and robotics.09/97—09/04College of Computing,Georgia Institute of Technology,Atlanta,GA.Graduate Research and Teaching Assistant.Researched planning under uncertainty with realistic planning objectives,such as risk attitudes,multiple objectives,and extended goals.Also researched incremental search and its application in symbolic planning,as well as agent-centered search and empirical evaluations.05/01—08/01IBM T.J.Watson Research Center,Yorktown Heights,NY.Summer Intern.Researched autonomous trading strategies in an e-marketplace for B2B applications,including automatic generation of quotes and promotions.05/00—08/00IBM T.J.Watson Research Center,Yorktown Heights,NY.Summer Intern.Researched bidding strategies for risk-sensitive agents,and their integration into supply chain management systems.Built a prototype to demonstrate the ideas.03/96—09/96Department of Applied Mathematics and Computer Science,Gent University,Belgium.Visiting Researcher.Researched fuzzy logic and fuzzy quantiﬁers.09/94—12/96Map Engine Software Company,Inc.Beijing,China.Part-time Software Analyst,Programmer,Consultant.Developed Windows-based Geographical Information System(GIS).Designed the system prototype and implemented the kernel system.The system based on this design won the Best Software Award in Chinese3rd PC Software Competition in1997.02/92—09/94Department of Computer Science and Technology,Peking University.Research Assistant.Worked on Geographic Information Systems(GIS)under the GeoUnion project,theﬁrst GIS developed in China.Responsible for dataﬁle conversion utilities and some map editing functions. Honors:•IBM PhD Fellowship,2003-2004.•IBM PhD Fellowship,2002-2003.•Outstanding Graduate Research Assistant,College of Computing,Georgia Institute of Technology,2002.•Founder Scholarship,Peking University,1995.•Outstanding Student Fellowship with the title“Star of Campus”,Peking University,1993.•Guang-Hua Funds Scholarship,Peking University,1992.•Legend Scholarship,Peking University,1991.•Student Scholarship for attending conferences,including:AAAI-02,IJCAI-01,AAAI Spring Symposium Series 2001,AIPS-00,AAAI-00.Journal Publications:•Sven Koenig,Maxim Likhachev,Yaxin Liu and David Furcy.Incremental Heuristic Search in Artiﬁcial Intel-ligence.AI Magazine,25(2):99-112,2004.•Sven Koenig and Yaxin Liu.The Interaction of Representations and Planning Objectives for Decision-Theoretic Planning Tasks.Journal of Experimental and Theoretical Artiﬁcial Intelligence,14(4):303-326,2002.•Sven Koenig,Boleslaw Szymanski and Yaxin Liu.Eﬃcient and Ineﬃcient Ant Coverage Methods.Annals of Mathematics and Artiﬁcial Intelligence,31:41-76,2001.•Yaxin Liu and Etienne E.Kerre.An Overview of Fuzzy Quantiﬁers,Part I:Interpretations.Fuzzy Sets and Systems,95:1-21,1998.•Yaxin Liu and Etienne E.Kerre.An Overview of Fuzzy Quantiﬁers,Part II:Reasoning and Applications.Fuzzy Sets and Systems,96:1-12,1998.Referred Conference Publications:•Yaxin Liu and Sven Koenig.Existence and Finiteness Conditions for Risk-Sensitive Planning:Results and Conjectures.Accepted to the Twenty-First Conference on Uncertainty in Artiﬁcial Intelligence(UAI-05).Acceptance rate35%(86/243).•Yaxin Liu and Sven Koenig.Risk-Sensitive Planning with One-Switch Utility Functions:Value Iteration.Accepted to the Twentieth National Conference on Artiﬁcial Intelligence(AAAI-05).Acceptance rate18% (148/803).•Matthew E.Taylor,Peter Stone,and Yaxin Liu.Value Functions for RL-Based Behavior Transfer:A Compar-ative Study.Accepted to the Twentieth National Conference on Artiﬁcial Intelligence(AAAI-05).Acceptance rate18%(148/803).•Peter Stone,Gregory Kuhlmann,Matthew E.Taylor,and Yaxin Liu.Keepaway Soccer:From Machine Learning Testbed to Benchmark.Accepted to the Ninth RoboCup International Symposium(RoboCup-05).Acceptance rate27%(36/131).•Yaxin Liu,Richard Goodwin,Sven Koenig.Risk-Averse Auction Agents.Proceedings of the Second In-ternational Joint Conference on Autonomous Agents and MultiAgent Systems(AAMAS-03),pages353-360, Melbourne,Australia,July14-18,2003.Acceptance rate25%(115/466).•Yaxin Liu,Sven Koenig,and David Furcy.Speeding Up Calculation of Heuristics in Heuristic Search-Based Planning.Proceedings of the Eighteenth National Conference on Artiﬁcial Intelligence(AAAI-02),pages484-491,Edmonton,Canada,July28-August1,2002.Acceptance rate26%(121/469).•Sven Koenig and Yaxin Liu.Terrain Coverage with Ant Robots:A Simulation Study.Proceedings of the Fifth International Conference on Autonomous Agents(AGENTS-01),pages600-607,Montreal,Canada,May28-June1,2001.Acceptance rate27%(66/248).•Sven Koenig and Yaxin Liu.Representations of Decision-Theoretic Planning Tasks.Proceedings of the Fifth International Conference on Artiﬁcial Intelligence Planning and Scheduling(AIPS-00),pages187-195,Breck-enridge,CO,April15-17,2000.Acceptance rate36%(30/84).•Sven Koenig and Yaxin Liu.Sensor Planning with Non-Linear Utility Functions.Proceedings of the Fifth European Conference on Planning(ECP-99),pages265-277,Durham,UK,September8-10,1999.Acceptance rate42%(27/65).Other Conference,Workshop,and Symposium Publications:•Yaxin Liu,Richard Goodwin,and Sven Koenig.Risk-Sensitive Planning in AI with Nonlinear Utilities(Ab-stract).Extended Conference Program of the Ninth INFORMS Computer Society Conference,Annapolis,MD, January5-7,2005.•Yaxin Liu and Sven Koenig.Existence and Finiteness Conditions for Risk-Sensitive Planning:First Results.Proceedings of the AAAI-04Workshop on Learning and Planning in Markov Processes—Advances and Chal-lenges,San Jose,CA,July26,2004.•Yaxin Liu,Richard Goodwin and Sven Koenig.Risk-Averse Auction Planning and its Integration into Supply-Chain Management Systems.Proceedings of the AAAI-01Spring Symposium on Game Theoretic and Decision Theoretic Agents(GTDT-01),Stanford,CA,March26-28,2001.•Sven Koenig and Yaxin Liu.High-Stake Sensor Planning.Proceedings of the AIPS-00Workshop on Decision-Theoretic Planning,pages88-92,Breckenridge,CO,April14,2000.•Sven Koenig and Yaxin Liu.Simulating High-Stake Decisions.Proceedings of the Eighth Conference on Computer Generated Forces and Behavioral Representation(CGF-BR’99),pages499-504,Orlando,FL,May 11-13,1999.Theses:•Yaxin Liu.Decision-Theoretic Planning Under Risk-Sensitive Planning Objectives.PhD Thesis,College of Computing,Georgia Institute of Technology,Atlanta,GA.April2005.•Yaxin Liu.A Tentative Meta-Level Control Mechanism for Reasoning and Decision-Making with Bayesian Networks under Temporal Constraints.Master’s Thesis,Department of Computer Science and Technology, Peking University,Beijing,China.June1997.•Yaxin Liu.Object-Oriented Analysis and Design of Geographic Information System Development Environment for Windows Using MFC(in Chinese).Bachelor’s Thesis,Department of Computer Science and Technology, Peking University,Beijing,China.June1994.Miscellaneous Publications:•Solved problems for Chapter7:Stochastic Methods,in Solution Manual to accompany Pattern Classiﬁcation, the second edition,by Richard O.Duda,Peter E.Hart,and David G.Stork.Wiley,2000.•Translated into Chinese Chapters40-42of The Fractal Geometry of Nature,by Benoit B.Mandelbrot.Far East Publishers,1998.Papers in Preparation:•Yaxin Liu and Sven Koenig.Risk-Sensitive Planning with One-Switch Utility Functions:Backward Induction.•Sven Koenig and Yaxin Liu.Planning for Information Gathering with Non-Traditional Planning Objectives.•Yaxin Liu and Sven Koenig.Risk-Sensitive Planning with Factored MDPs.•Yaxin Liu and Sven Koenig.Approximate Risk-Sensitive Planning with Piecewise Linear Functions. Program Committee:•IJCAI-2005Workshop on Planning and Learning in A Priori Unknown or Dynamic Domains.Journal Reviews:2003Autonomous Robots,Mobile Computing and Communications Review(MC2R).2001IEEE Transactions on Evolutionary Computation.2000Annals of Mathematics and Artiﬁcial Intelligence,Journal of Artiﬁcial Intelligence Research(JAIR).1999Machine Learning Journal.Conference Reviews:2005International Joint Conference on Artiﬁcial Intelligence(IJCAI)(2x posters),IJCAI Workshop on Planning and Learning in A Priori Unknown or Dynamic Domains(2x).2004International Conference on Intelligent Autonomous Systems(IAS),International Conference on Machine Learning(ICML)(3x),International Symposium on Artiﬁcial Intelligence and Mathematics(AI+MATH) (2x),Neural Information Processing Systems(NIPS)(2x).2003International Conference on Automated Planning and Scheduling(ICAPS)(2x).2002International Conference on Artiﬁcial Intelligence Planning and Scheduling(AIPS)(2x),International Con-ference on Machine Learning(ICML)(2x),National Conference on Artiﬁcial Intelligence(AAAI),Neural Information Processing Systems(NIPS)(2x).2001European Conference on Planning(ECP)(2x),International Joint Conference on Artiﬁcial Intelligence(IJCAI) (2x),Neural Information Processing Systems(NIPS)(3x).2000International Conference on Machine Learning(ICML)(3x),International Conference on Tools with Artiﬁcial Intelligence(ICTAI)(2x),Paciﬁc Rim International Conference on Artiﬁcial Intelligence(PRICAI).1999Australian Joint Conference on Artiﬁcial Intelligence,International Joint Conference on Artiﬁcial Intelligence (IJCAI)(3x).Service and Members:•American Association of Artiﬁcial Intelligence(AAAI),Member,since1999.•Graduate Admissions Committee,College of Computing,Georgia Institute of Technology,2000–2002.•Student Volunteer,AAAI-04,San Jose,CA.•Student Volunteer,AAAI-02,Edmonton,Alberta,Canada.•Student Volunteer,IJCAI-01,Seattle,WA.•Student Volunteer,AAAI-00,Austin,TX.•Student Volunteer,AAAI-99,Orlando,FL.Skills:Italic for items with most familiarity.Programming Languages:C/C++,Java,Lisp,Mathmatica,MatLab,Perl,Pascal,Smalltalk,Prolog,shell scripts, HTML,XML,SQL.Environments:Linux,Solaris,Windows.Software/Programming Libraries:TCP/IP,pthread,Visual C++(MFC),STL,OpenGL,LaTeX,Gnome, Oracle,ODBC,Java RMI,Java Swing,CORBA.Areas with Experiences:AI,programming languages,graphics,operating systems,networking,database,GIS, natural language processing.Citizenship and Visa Status:•Citizen of China.•F-1student visa,on OPT.References:•Dr.Sven Koenig,AdvisorAssociate Professor,Computer Science DepartmentUniversity of Southern California941W.37th Place,Los Angeles,CA90089-0781Phone:(213)740-6491Email:skoenig@•Dr.Craig Tovey,Co-advisorProfessor,College of Computing and School of Industrial and Systems EngineeringGeorgia Institute of Technology765Ferst Drive NW,Atlanta,GA30332-0205Phone:(404)894-3034Email:craig.tovey@•Dr.Richard T.GoodwinManager,Semantic eBusiness MiddlewareIBM T.J.Watson Research Center19Skyline Drive,P.O.Box704,Hawthorne,NY10532Phone:(914)784-7608Email:rgoodwin@•Dr.Anton KleywegtAssociate Professor,School of Industrial and Systems Engineering Georgia Institute of Technology765Ferst Drive NW,Atlanta,GA30332-0205Phone:(404)894-4323Email:anton.kleywegt@。

统计学用英语怎么说

统计学用英语怎么说统计学是通过搜索、整理、分析、描述数据等手段，以达到推断所测对象的本质，甚至预测对象未来的一门综合性科学。

那么你知道统计学用英语怎么说吗?接下来跟着店铺来学习一下吧。

统计学的英语说法：statistics统计学相关英语表达：数理统计学 mathematical statistics推论统计学 statistical inference统计学原理 Principle of Statistics国际统计学 International statistics空间统计学 Spatial Statistics管理统计学 Statistics for Managers统计学的英语例句：1. The degree provides a thorough grounding in both mathematics and statistics.该学位课程将为数学和统计学打下扎实的基础。

2. The results are not statistically significant.结果从统计学上看没有什么意义。

3. These courses provide the groundwork of statistical theory.这些课程介绍的是统计学理论的基础。

4. Although not essential, some prior knowledge of statistics is desirable.统计学的知识虽非必要，但最好是学过一点。

5. Statistics is taught in many colleges.许多大学都教授统计学.6. Business graduates must also be numerate, because most degrees will have courses in quantitative methods and statistics.商科专业大学毕业生也必须具备良好的数学能力, 因为大部分学位涉及定量研究法和统计学领域课程.7. In statistical language , this estimate is called the between - column variance.在统计学中这个估计值叫组间方差.8. Today, statistics and statistical analysis are used in practically every profession.今天, 统计学和统计分析已经被广泛地应用于各行各业的工作实践中.9. This is not intended to serve as a text of statistical techniques.这并不是想把它变成统计学的技术课本.10. The treatment is based on statistical theory.这种处理的根据是统计学理论.11. She's studying statistics at university.她在大学学习统计学.12. The magnitude of each type of noise listed above can be computed from elementary statistical principles.上列各种类型的噪声的大小可用基本统计学原理来计算.13. Economic statistics largely consists of the aggregation and tabulation of facts relating to economic life.经济统计学大体上是由与经济生活有关的现实资料汇总与列表工作构成的.14. She combines feminine elegance with a mind which delights in legal and statistical complexities.她既具有女性的优雅,又有喜爱研究法律和统计学等复杂问题的头脑.15. The term null hypothesis arose from earlier agricultural and medical applic ation of statistics.无效假设这个概念产生于早期的统计学在农业和医学方面的应用中.。

专硕学硕英语

专硕学硕英语Postgraduate Studies: A Comparison between Professional and Academic DegreesThe pursuit of higher education has become increasingly important in today's competitive job market. Two distinct paths that individuals can take are the professional master's degree (Zhuanshuo) and the academic master's degree (Xueshu). Both offer unique advantages and cater to different educational and career aspirations. In this essay, we will delve into the key differences between these two postgraduate options and explore the factors that individuals should consider when making their choice.One of the primary distinctions between professional and academic master's degrees lies in their focus and curriculum. Professional master's programs are designed to provide students with specialized, practical knowledge and skills that are directly applicable to a specific industry or profession. These programs often emphasize hands-on learning, case studies, and the development of technical expertise. The curriculum is typically structured to address the immediate needs of the job market, equipping students with the tools and knowledge required to excel in their chosen field. Incontrast, academic master's programs place a greater emphasis on theoretical and research-oriented learning. These programs are focused on developing a deep understanding of the subject matter, fostering critical thinking, and cultivating the ability to conduct independent research. The curriculum is often more broad-based, allowing students to explore various aspects of the discipline and gain a comprehensive understanding of the field.Another key difference between the two postgraduate paths lies in their intended outcomes. Professional master's degrees are primarily aimed at enhancing the career prospects of individuals who are already working in a particular field or those who seek to transition into a new profession. These programs are designed to provide students with the necessary skills and credentials to advance in their careers, often leading to higher-level positions or specialized roles within their chosen industry. In contrast, academic master's degrees are often viewed as a stepping stone towards a doctoral program or a career in academia. These programs are focused on developing research skills, fostering a deep understanding of the subject matter, and preparing students for a career in research, teaching, or other academic pursuits.The admission requirements for professional and academic master's programs also differ significantly. Professional master's programs typically have a more flexible admission process, often consideringfactors such as work experience, industry certifications, and personal statements in addition to academic performance. These programs are often tailored to accommodate working professionals, offering part-time or evening classes to accommodate their schedules. On the other hand, academic master's programs generally have more stringent admission requirements, with a greater emphasis on academic achievements, such as undergraduate GPA, standardized test scores, and research experience. These programs are often more selective and may require applicants to submit detailed research proposals or demonstrate a strong interest in academic research.The financial implications of pursuing a professional or academic master's degree are also worth considering. Professional master's programs are often more expensive, as they are designed to provide specialized, career-oriented training and may include additional fees for specialized equipment, materials, or industry certifications. However, these programs may also offer more opportunities for financial assistance, such as employer-sponsored tuition reimbursement or scholarships targeted at working professionals. Academic master's programs, on the other hand, may be more affordable, particularly for those who qualify for research or teaching assistantships, which can provide tuition waivers and stipends to support their studies.In conclusion, the choice between a professional master's degreeand an academic master's degree ultimately depends on an individual's educational and career goals. Professional master's programs are well-suited for those who seek to enhance their practical skills and advance their careers in a specific industry, while academic master's programs are more suitable for those who aspire to pursue a career in research, teaching, or academia. By carefully considering the unique features and advantages of each path, individuals can make an informed decision that aligns with their personal and professional aspirations.。

statisticalsurveys

statisticalsurveysStatistical surveys are an important tool for collecting and analyzing data. They involve the collection of information from a sample or population, often using questionnaires, interviews, or observations. The data collected is then analyzed to identify patterns, trends, and relationships, which can be used to inform decision-making, research, and policy development.One of the key benefits of statistical surveys is that they allow researchers to gather information from a large number of individuals or organizations quickly and efficiently. This can help to increase the generalizability and reliability of the data, as it is collected from a diverse range of sources. Statistical surveys can also be used to compare data across different groups or over time, which can help to identify changes and trends.Another advantage of statistical surveys is that they can be designed to collect specific types of data that are relevant to the research question or policy issue being investigated. This allows researchers to focus on the key variables of interest and to collect data that is directly related to the research question. Statistical surveys can also be used to test hypotheses and to identify correlations between variables, which can help to inform further research and policy development.However, there are also some limitations to statistical surveys. One of the main challenges is ensuring the representativeness of the sample, as the results of the survey may only be applicable to the individuals or organizations that were included in the sample. Additionally, there is a risk of response bias, where the responses of some individuals or organizations may be influenced by factors such as their motivation, knowledge, or experience. Finally, statistical surveys can be time-consuming and expensive to conduct, and may require significant resources to design, administer, and analyze the data.In conclusion, statistical surveys are a valuable tool for collecting and analyzing data, but it is important to carefully consider their limitations and toensure that the survey is designed and administered effectively. By doing so, researchers and policymakers can use the results of statistical surveys to inform decision-making and to drive positive change.。

统计学及应用期刊

统计学及应用期刊统计学及应用期刊是学术界传播最新统计学研究成果和应用的重要渠道。

下面我将介绍几个有影响力的统计学及应用期刊。

1. Journal of the American Statistical Association (ASA)《美国统计协会期刊》是全球统计学界的顶级期刊之一，由美国统计协会（ASA）主办。

该期刊涵盖各个统计学领域，包括统计推断、样本调查、计算统计学、生物统计学等。

它以发表高质量的研究论文和方法介绍而闻名，并且对统计学各个领域的研究方向有着积极的引导作用。

2. Annals of Statistics《统计年鉴》是数学和统计学领域的顶级期刊之一，发表具有原创性和高质量的统计学研究论文。

这个期刊注重理论研究和方法创新，并且涵盖了包括假设检验、参数估计、时间序列分析、空间统计分析等方面的各种主题。

《统计年鉴》对推动统计学的发展和理论研究具有重要的影响力。

3. Journal of Statistical Software (JSS)《统计软件期刊》是一个开放获取的学术期刊，刊登用于统计学研究和应用的计算机软件和程序。

这个期刊提供详细的软件描述和示例，使研究人员可以了解和使用各种统计学软件。

它是一个非常有用的资源，可以帮助研究者更好地理解和应用统计学中的方法和工具。

4. Journal of Applied Statistics《应用统计期刊》是一个专门关注统计学在实际问题中应用的期刊。

它涵盖了各个领域的应用研究，包括金融统计学、医学统计学、经济统计学、环境统计学等。

这个期刊的目标是促进实际问题解决的统计学方法和技术的交流和应用。

5. Statistical Science《统计科学》是一个汇集了各个统计学领域研究的期刊，包括理论、应用、计算和方法等方面的研究。

这个期刊的目标是提供一个广泛的平台，促进统计学和相关学科的相互交流和合作。

它以发表创新、综合和高质量的研究论文而闻名，并且对统计学的理论和实践发展具有重要的影响力。

统计学硕士英语

统计学硕士英语Statistical Master's in EnglishAfter completing my undergraduate studies in mathematics, I decided to pursue a master's degree in statistics. As someone who has always been fascinated by the power of data analysis and the insights it can uncover, this seemed like the natural next step in my academic and professional journey. The decision to pursue a statistical master's program was not one I took lightly, as I knew it would require a significant investment of time, effort, and resources. However, the potential rewards of gaining advanced expertise in this field were too compelling to ignore.The primary reason I chose to pursue a statistical master's degree was my desire to develop a deeper understanding of the principles and techniques that underlie data-driven decision-making. In today's data-driven world, the ability to collect, analyze, and interpret large datasets has become an increasingly valuable skill across a wide range of industries and sectors. From business and finance to healthcare and social sciences, the demand for professionals who can extract meaningful insights from complex data is higher than ever before.During my undergraduate studies, I had the opportunity to take several courses in statistics and data analysis, and I was consistently amazed by the insights that could be gleaned from even the most seemingly mundane datasets. I found myself captivated by the process of formulating hypotheses, designing experiments, and using sophisticated statistical models to uncover patterns and relationships that were not immediately apparent. This experience sparked a deep curiosity in me, and I knew that I wanted to delve even deeper into the world of statistical analysis.One of the key factors that drew me to a statistical master's program was the opportunity to specialize in a particular area of interest. Many programs offer a range of concentrations, from biostatistics and econometrics to machine learning and data science. This flexibility allows students to tailor their education to their specific career goals and interests, ensuring that they emerge from the program with a highly specialized and valuable skill set.In my case, I was particularly interested in the application of statistical techniques to problems in the social sciences and public policy. I was fascinated by the potential of data analysis to inform decision-making and drive positive change in areas such as education, healthcare, and social welfare. As a result, I decided to pursue a concentration in applied statistics, with a focus on the useof statistical methods in policy analysis and program evaluation.Throughout my time in the master's program, I have been exposed to a wide range of statistical concepts and techniques, from classical regression analysis to more advanced methods like multilevel modeling and structural equation modeling. I have also had the opportunity to work on a variety of real-world projects, collaborating with researchers and practitioners in fields such as public health, urban planning, and criminal justice.One of the most valuable aspects of the program has been the emphasis on the practical application of statistical knowledge. Rather than simply memorizing formulas and algorithms, we have been encouraged to think critically about the assumptions and limitations of different statistical methods, and to consider how they can be applied to address complex, real-world problems. This hands-on, problem-solving approach has been instrumental in helping me develop the critical thinking and problem-solving skills that are so essential in the field of statistics.In addition to the technical aspects of the program, I have also been impressed by the strong emphasis on professional development and communication skills. Throughout the program, we have been required to present our work to both academic and non-academic audiences, honing our ability to effectively communicate complexstatistical concepts to a variety of stakeholders. This has been particularly important for me, as I aspire to work in a field where the ability to translate data-driven insights into actionable recommendations is crucial.As I near the end of my statistical master's program, I am filled with a sense of excitement and anticipation for the future. I know that the skills and knowledge I have acquired will open up a wide range of career opportunities, from working as a data analyst in the private sector to serving as a policy advisor in the public sector. Moreover, I am confident that the critical thinking and problem-solving abilities I have developed will serve me well in whatever path I choose to pursue.Looking back on my decision to pursue a statistical master's degree, I can say with certainty that it was one of the best choices I have ever made. The program has challenged me intellectually, pushed me out of my comfort zone, and given me a deeper appreciation for the power of data-driven decision-making. As I prepare to embark on the next chapter of my career, I am grateful for the knowledge, skills, and experiences I have gained, and I am excited to see how I can use them to make a meaningful impact in the world.。

统计学方法英语

统计学方法英语As an essential tool in data analysis, statistical methods play a crucial role in various fields such as economics, psychology, biology, and social sciences. 统计学方法作为数据分析中的重要工具，在经济学、心理学、生物学和社会科学等领域起着至关重要的作用。

By utilizing statistical techniques, researchers are able to draw meaningful conclusions from data, identify trends and patterns, and make informed decisions. 通过利用统计技术，研究人员能够从数据中得出有意义的结论，识别趋势和模式，并做出明智的决策。

Statistical methods provide a framework for organizing, analyzing, and interpreting data to extract valuable insights that can inform decision-making processes. 统计方法提供了一个框架，用于组织、分析和解释数据，从而提取有价值的洞察，可以指导决策过程。

One of the key advantages of statistical methods is their ability to quantify uncertainty and variability in data. 统计方法的一个关键优势是其能力量化数据中的不确定性和变异性。

By using probability theory and hypothesis testing, statisticians can assess the reliability of their findings and make valid inferences about populations based on sample data. 通过使用概率论和假设检验，统计学家可以评估其发现的可靠性，并根据样本数据对总体进行有效推断。

英文求职信-Research-ResearchAnalyst（共5篇）

英文求职信-Research-ResearchAnalyst（共5篇）第一篇：英文求职信-Research - Research AnalystDear Mr HoApplication for the position of Research AnalystI would like to apply for the above position you advertised in the April 7th edition of the .With my academic background and work experience, I believe I am a suitable candidate for this position.I will receive my Bachelor of Social Sciences degree in psychology with minor in Statistics in the coming May.During my school years, I have been involved in a large-scale marketing research project, which has provided me an opportunity to interview and survey research subjects, as well as to help in the data analysis work.In addition to my academic achievement, I have worked as a part-Time Marketing Officer in a trading company, which has entrusted me with such responsibilities as preparing monthly sales reports for the projection of seasonal inventory needs, and planning for various promotional events.I believe that the combination of my research training and business experience would make me a valuable asset to your company.I look forward to the opportunity of meeting you.Yours sincerelySteven CheungSteven CheungEnc.第二篇：英文求职信842 bigelow streetdovernew hampshirehastings &johnson company92 summer streetboston, massachusettsgentlemen, please consider this letter my application for the position of bookkeeper in your accounting department, which wasadvertised in the boston traveler of j une 14.i shall graduate the last of this month from the dover high school, having co mpleted the four-year commercial course.i have attained an average of 89 in all of my courses.for the past three summers, i have been employed in the office of the walter gog gin shoe company.in this work i have gained valuable experience in office routi ne.i helped in the preparation of the monthly statement ,handled remittances, a nd assisted one of the bookkeepers with the monthly report.my record at high school together with the practical experience which i have rec eived makes me feel reasonably confident that i could be of material assistance to you.i am permitted to refer you to:mr.earle r.smith, principaldover high schooldover, new hampshiremr.edward l.post, office managerwalter goggin shoe companydover.new hampshiremr.harold s.harvey, attorneyprofessional buildingdover, new hampshirei believe that an interview will enable you to determine definitely my fi tness for the position referred to in the opening paragraph of this letter.very truly yours, lawrence johnson范文网()第三篇：求职信英文April 13,2000Room 212 Building 343Tsinghua University,Beijing 100084【范文网】Ms.Yang:I was referred to you by Mr.Zhang, a partner with your Beijing office, who informed me that the Shanghai office of your company is actively seeking to hire quality individuals for your Auditor program.I have more than two years of accounting experience, including interning as an Auditor last year with the Beijing office of CCCC.I will be receiving my MBA this May from Tsinghua University.I am confident that my combination of practical work experience and solid educational experience has prepared me for making an immediate contribution to your company.I understand the level of professionalism and communication required for long-term success in the field.My background and professional approach to business will provide your office with a highly productive Auditor upon completion of your development program.I will be in the Shanghai area the week of April 16.please call me at ***1 to arrange a convenient time when we may meet to further discuss my background in relation to your needs.I look forward to meeting you then.Sincerely,Cheng Dan第四篇：英文求职信（共）Dear Sir/Madam,I am a student from Applied Foreign Language Department of Guangzhou Panyu Polytechnic.Your advertisement for a foreign trade clerk in the April 10 Student Daily interested me because the position that you described sounds exactly like the kind of job I am seeking.According to the advertisement ,your position requires someone who can deal with foreigners effectively.I feel that I am competent to meet the requirements.I will be graduating from Guangzhou Panyu Polytechnic this year with working experience on international trade.My studies have included courses in computer control, marketing management and foreign trade business.During my education, I have grasped the principals of my major and skills ofpractice.Not only have I passed CET-6, but more important I can communicate with others freely in English.My ability to write and speak English is out of question.Therefore,I have enough confidence to apply this position.I would appreciate your time in reviewing my enclosed resume and if there is any additional information you require, please contact me.I would welcome an opportunity to meet with you for a personal interview.With many thanks,Ary第五篇：英文求职信（共）RE: Supply Chain LeaderAs an experienced purchasing agent with a record of success in Supply Chain, I am interested in thesupply chain leader you advertised recently.A review of your requirements suggests a good fit with my experience and skills.My resume provides more details，but some highlights of my experience include the following： #Managed more than 20 suppliers and 30products, including vender sourcing, on-time deliver, and the return ofunqualified products and so on #Annual cost down averaging 5.6%,saving money over 495,000 RMB#2 years of experience in purchasingdepartment(retail and trade industries)#Bachelor degree(bachelor degree in economics), level ofEnglish(CET-6)and a basketball enthusiastCharacterized by others as passionate,intuitive, flexible, and curious, I believe my strongest value is my operational and business perspective.The opportunity that you are offering with Supply Chain Leader has tremendous potential and unlimitedopportunities –thus my interest inmeeting with you to further discuss the position, you needs, and my capabilities.Thank you.SincerelyXxxxxxxxEnclosed: resume=============Tel:150-xxxx-xxxxEmail:。