ANALYSIS OF COVARIANCE;
APPROXIMATE DEGREES OF FREEDOM;
REPEATED MEASURES;
RESPONSE MODELS;
SPLIT-SPLIT-PLOT DESIGN;
2-WAY WHOLE PLOTS;
VARIANCES;
D O I:
10.2307/2684189
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
Proper methodology for the analysis of covariance for experiments designed in a split-plot or split-block design is not found in the statistical literature. Analyses for these designs are often performed incompletely or even incorrectly. This is especially true when popular statistical computer software packages are used for the analysis of these designs. This article provides several appropriate models, ANOVA tables, and standard errors for comparisons from experiments arranged in a standard split-plot, split-split-plot, or split-block design where a covariate has been measured on the smallest size experimental unit.
机构:
Nankai Univ, Sch Stat & Data Sci, LPMC, Tianjin, Peoples R China
Nankai Univ, KLMDASR, Tianjin, Peoples R ChinaNankai Univ, Sch Stat & Data Sci, LPMC, Tianjin, Peoples R China
Han, Xiaoxue
Chen, Jianbin
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机构:
Nankai Univ, Sch Stat & Data Sci, LPMC, Tianjin, Peoples R China
Nankai Univ, KLMDASR, Tianjin, Peoples R ChinaNankai Univ, Sch Stat & Data Sci, LPMC, Tianjin, Peoples R China
Chen, Jianbin
Liu, Min-Qian
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机构:
Nankai Univ, Sch Stat & Data Sci, LPMC, Tianjin, Peoples R China
Nankai Univ, KLMDASR, Tianjin, Peoples R ChinaNankai Univ, Sch Stat & Data Sci, LPMC, Tianjin, Peoples R China
Liu, Min-Qian
Zhao, Shengli
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h-index: 0
机构:
Qufu Normal Univ, Sch Stat, Qufu 273165, Shandong, Peoples R ChinaNankai Univ, Sch Stat & Data Sci, LPMC, Tianjin, Peoples R China