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A New Algorithm for Explicit Determination of Variance Component Estimations in Mixed Models and Mixed Classifications of Balanced ANOVA

✍ Scribed by D. Holomek


Publisher
John Wiley and Sons
Year
1978
Tongue
English
Weight
662 KB
Volume
20
Category
Article
ISSN
0323-3847

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✦ Synopsis


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 ANOVA‐estimations of the variance components respectively the estimation of the mean sum of squares of the fixed effects for all sources of variation. Thereby the corresponding F‐quotients and the approximate confidence intervals of variance components are received in a simple way.