残差法英文缩写

残差法英文缩写
English:
"Residuals-based methods, also known as residual analysis or residual error methods, are a key tool in statistics and data analysis. In these methods, the residuals, which are the differences between observed values and the values predicted by a model, are analyzed to assess the goodness of fit of the model to the data. The residuals can provide valuable insights into the adequacy of the model and help identify any patterns or trends that the model may have missed. By examining the distribution of residuals, researchers can determine if the assumptions of the model are met and if any adjustments or improvements are needed. Residuals-based methods are widely used in various fields, including regression analysis, time series analysis, and ANOVA, among others."
中文翻译：
"残差法，也称为残差分析或残差误差法，是统计学和数据分析中的重要工具。

在这些方法中，残差是观察值与模型预测值之间的差异，通过分析残差来评估模型与数据的拟合程度。

残差可以为模型的适用性提供宝贵的见解，并帮助识别模型可能忽略的任何模式或趋势。

通过检查残差的分布，研究人
员可以确定模型的假设是否得到满足，以及是否需要进行任何调整或改进。

残差法被广泛应用于回归分析、时间序列分析、ANOVA等各个领域。

"。