LARGE-SAMPLE KOLMOGOROV-SMIRNOV TEST FOR NORMALITY OF EXPERIMENTAL ERROR IN A RANDOMIZED BLOCK DESIGN
成果类型：
Note
署名作者：
WOOD, CL
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.2307/2335931
发表日期：
1978
页码：
673676
关键词：
摘要：
The weak convergence of the sample distribution function based on the estimated residuals in a randomized block design is considered under the null hypothesis of normality of the experimental errors. This result serves as a basis for deriving the limiting distribution of the Kolmogorov-Smirnov statistic computed from the estimated residuals. Quantiles of Monte Carlo simulations of the limiting distributions for various numbers of treatments are given. These results are applicable to the 2-way mixed model (Scheffe, 1959).