BEST ESTIMATION OF VARIANCE-COMPONENTS WITH ARBITRARY KURTOSIS IN 2-WAY LAYOUTS MIXED MODELS

被引:1
|
作者
BAKSALARY, JK
GNOT, S
KAGEYAMA, S
机构
[1] PEDAGOG UNIV,ZIELONA GORA,POLAND
[2] AGR UNIV WROCLAW,DEPT MATH,WROCLAW,POLAND
[3] HIROSHIMA UNIV,DEPT MATH,HIROSHIMA,JAPAN
关键词
2-WAY LAYOUT; MIXED MODEL; VARIANCE COMPONENTS; BEST INVARIANT QUADRATIC UNBIASED ESTIMATOR;
D O I
10.1016/0378-3758(94)00030-Y
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
Under the assumptions that a linear model corresponding to two-way layouts is the mixed model without interaction, necessary and sufficient conditions are derived under which the minimum norm invariant quadratic unbiased estimators have uniformly minimum variance among all unbiased invariant quadratic estimators for data with arbitrary kurtosis. The conditions are expressed in terms of the incidence matrix N and C-matrix of the design. Under the model considered in this paper, the results obtained here strengthen those by Anderson et al. (1984), where data are required to satisfy a special balance condition.
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页码:65 / 75
页数:11
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