Estimation of error variance in ANOVA model and order restricted scale parameters
โ Scribed by Youhei Oono; Nobuo Shinozaki
- Publisher
- Springer Japan
- Year
- 2006
- Tongue
- English
- Weight
- 209 KB
- Volume
- 58
- Category
- Article
- ISSN
- 0020-3157
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๐ SIMILAR VOLUMES
Estimation of parameters in linear fixed and mixed effects models, under order restrictions on the error variances, is considered in this article. For simplicity of exposition, we shall assume that the error variances are subject to simple order restriction. Similar methodology can be developed for
We consider two simple estimators of the mean p in a variance component model (one-way classification, unbalanced case) 1 1 FI=; 7 Yjk; F2=; 2 g j \* ## I I n dependence of the estimation procedure (ANOVA, MINQ, sampling theory) we obtain several different estimators for t h e variances of pl and
## Abstract This paper deals with the balanced case of the analysis of variance. The use of a classification function leads to an easy determination of all possible sources of variation of any mixed classification. For mixed models a new method is derived, which allows to represent explicit the ANO