Approximate tests in unbalanced two-way random models without interaction

被引:1
|
作者
Guven, Bilgehan [1 ]
机构
[1] Canakkale Onsekiz Mart Univ, Dept Math, TR-17100 Canakkale, Turkey
关键词
Two-way random model; Asymptotic normality; Approximate F test; Robustness of approximate test; ANOVA; VARIANCE; NUMBER;
D O I
10.1007/s00362-011-0378-1
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
In the presence of non-normality, we consider testing for the significance of the variance components in the unbalanced two-way random model without interaction. The approximate test is based on the F-statistic for this model. The asymptotic distribution of the F-statistic is derived as the number of treatments tends to infinity while the number of observations for a treatment in any block takes value from a finite set of positive integers. Robustness of the approximate test is given.
引用
收藏
页码:753 / 766
页数:14
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