Multiplicative effects in mixed model analysis of variance

Samuel D. Oman

doi:10.1093/biomet/78.4.729

Multiplicative effects in mixed model analysis of variance

Samuel D. Oman^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

38 Scopus citations

Abstract

SUMMARY: A class of two-way mixed analysis of variance models is proposed, in which the fixed and random effects enter multiplicatively. Equations are developed for iterative computation of maximum likelihood estimates via a scoring algorithm. Parameter estimation and hypothesis testing are illustrated on a set of plant genetics data.

Original language	English
Pages (from-to)	729-739
Number of pages	11
Journal	Biometrika
Volume	78
Issue number	4
DOIs	https://doi.org/10.1093/biomet/78.4.729
State	Published - Dec 1991

Keywords

Analysis of variance
Multiplicative interaction
Scoring algorithm

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10.1093/biomet/78.4.729

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abstract = "SUMMARY: A class of two-way mixed analysis of variance models is proposed, in which the fixed and random effects enter multiplicatively. Equations are developed for iterative computation of maximum likelihood estimates via a scoring algorithm. Parameter estimation and hypothesis testing are illustrated on a set of plant genetics data.",

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year = "1991",

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KW - Scoring algorithm

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Multiplicative effects in mixed model analysis of variance

Abstract

Keywords

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