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Cited by 547

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Bayesian inference for variance components using only error contrasts

HARVILLE, DAVID A.·1974·Biometrika

Abstract

Patterson & Thompson (1971) proposed estimating the variance components of a mixed analysis of variance model by maximizing the likelihood of a set of error contrasts. In the present paper, a convenient representation is obtained for that likelihood. It is shown that, from a Bayesian viewpoint, using only error contrasts to make inferences on variance components is equivalent to ignoring any prior information on the fixed effects and using all the data.

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Metadata

Authors
HARVILLE, D. A.
Venue
Biometrika
Published
1974
Volume
61
Issue
2
Pages
383-385
ISSN
  • 0006-3444 (ISSN-L)
  • 1464-3510
OpenAlex
W1982126198
Cited by
547
References
1
FWCI
1.92
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Bayesian inference for variance components using only error contrasts. https://app.cochat.ai/papers/10.1093/biomet/61.2.383
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HARVILLE, D. A. (1974). Bayesian inference for variance components using only error contrasts. Biometrika. https://doi.org/10.1093/biomet/61.2.383

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