Tests Based on Admissible Estimators in Two Variance Components Models
作者:
S. Gnot,
A. Michalski,
期刊:
Statistics
(Taylor Available online 1994)
卷期:
Volume 25,
issue 3
页码: 213-223
ISSN:0233-1888
年代: 1994
DOI:10.1080/02331889408802446
出版商: Gordon & Breach Science Publishers
关键词: AMS 1991 subject classification;62F03;62K10;Two variance components models;tests for variance components;block design
数据来源: Taylor
摘要:
In the paper a new class of tests for variance components in two variance components model is presented. The tests are based on nonnegative admissible invariant quadratic estimators of variance components. A comparison of the tests with the known ones are given. Two-way classification models corresponding to block designs are considered separately. Examples of these models are given, for which the power functions of the tests are computed by using Imhof’s procedure, and compared with the attainable upper bound obtained by using the Neyman–Pearson Lemma.
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