生物统计习题及答案-4

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生物统计与试验设计--作业四

彭继光3090100060 植物保护

Problem 2:In a field experiment, there are g varieties, d different plant densities and l different plant locations, the observation value can be expressed by following model: Yℎij=μ+Gℎ+D i+L j+GDℎi+GLℎj+DL ij+εℎij

Where, μ is the population mean;Gℎis the effect due to h’th variety,fixed effect;D i

is the effect due to i ’th density,D i~N(0,σD2);L j is the effect due to j ’th location,

L j~N(0,σL2);GDℎi is the random interaction effect between variety and plant density,GDℎi~ N(0,σGD2),GLℎj is the random interaction effect between variety and location,GLℎj~ N(0,σGL2),DL ij is the interaction effect between plant density and

location,random effect,DL ij~N(0,σDL2),εℎij is the residual effect,εℎij~ N(0,σε2)。

(1)According to the design of experiment, write out the distribution of observation;

Yℎij~N(μ+μG,σD2+σL2+σGD2+σGL2+σDL2+σε2)

(2)Write out the formula of calculating sum of squares for each effect;

SSG=∑∑∑(Y̅ℎ∙∙−Y̅∙∙∙)2

j

i

ℎ=dl∑(Y̅ℎ∙∙−Y̅∙∙∙)2

SSD=∑∑∑(Y̅∙i∙−Y̅∙∙∙)2

j

i

ℎ=gl∑(Y̅∙i∙−Y̅∙∙∙)2

i

SSL=∑∑∑(Y̅∙∙j−Y̅∙∙∙)2

j

i

ℎ=gd∑(Y̅∙∙j−Y̅∙∙∙)2

j

SSGD=∑∑∑(Y̅ℎi∙−Y̅ℎ∙∙−Y̅∙i∙+Y̅∙∙∙)2

j

i

ℎ=l∑∑(Y̅ℎi∙−Y̅ℎ∙∙−Y̅∙i∙+Y̅∙∙∙)2 i

SSGL=∑∑∑(Y̅ℎ∙j−Y̅ℎ∙∙−Y̅∙∙j+Y̅∙∙∙)2

j

i

ℎ=d∑∑(Y̅ℎ∙j−Y̅ℎ∙∙−Y̅∙∙j+Y̅∙∙∙)2

j

SSDL=∑∑∑(Y̅∙ij−Y̅∙i∙−Y̅∙∙j+Y̅∙∙∙)2

j

i

ℎ=g∑∑(Y̅∙ij−Y̅∙i∙−Y̅∙∙j+Y̅∙∙∙)2

i

SSTO=SSG+SSD+SSL+SSGD+SSGL+SSDL+SSE=∑∑∑(Yℎij−Y̅∙∙∙)2

j

i

(3) Write out the mean expectation of each sum squares for each effect ; E (MSG )=σε2+lσGD 2+dσGL 2+dl g −1∑G ℎ2ℎ

E (MSD )=σε2+glσD 2+gσDL 2

E (MSL )=σε2+gdσL 2+gσDL 2

E (MSGD )=σε2+lσGD

2 E (MSGL )=σε2+dσGL

2 E (MSDL )=σε2+gσDL 2

E (MSE )=σε2

(4) How to test the significance due to variety effect ?

H 0:∑G i 2=0i

H 1:∑G i 2>0i

当原假设成立时,F ∗=MSG MSGD+MSGL−MSE ~F(g −1,df)

df =(MSGD +MSGL −MSE)2

MSGD 2(g −1)(d −1)+MSGL 2(g −1)(l −1)+MSE 2(g −1)(d −1)(l −1)

(5) How to test the significance due to the interaction effect of variety and location ?

H 0:σGL 2=0

H 1:σGL 2>0

当原假设成立时,F ∗=MSGL MSE ~F((g −1)(l −1),(g −1)(d −1)(l −1))

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