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zbMATH Open
Article . 1980
Data sources: zbMATH Open
Biometrics
Article . 1980 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.2307/253...
Article
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Computing Expected Mean Squares

Computing expected mean squares
descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 1980Publisher:JSTORJournal:Biometrics, volume 36, page 123 (issn: 0006-341X, Copyright policy )
Authors: Goodnight, J. H.; Speed, F. M.;

doi: 10.2307/2530501

Computing Expected Mean Squares

Abstract

SUMMARY The evaluation of the expected mean squares arising from the analysis of unbalanced mixed ANOVA models has long been an analytically intractable problem. Irl this paper we present a theoretically and computationally simple technique for computation of the coefficients in the expected mean squares.

Keywords

unbalanced mixed Anova models, Analysis of variance and covariance (ANOVA), Probabilistic methods, stochastic differential equations, computing expected mean squares

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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