A new procedure for the estimation of variance components

Shein-Chung Chow and Jun Shao

Statistics & Probability Letters, 1988, vol. 6, issue 5, 349-355

Abstract: For the estimation of variance components in the one way random effects models, we propose some estimators which avoid negative and zero estimates of the variance component, a well-known problem with customary estimators such as the maximum likelihood or the restricted maximum likelihood estimators. The proposed estimators are shown to have lower mean squared error than customary estimators over a large range of the parameter space. This is also exhibited in a Monte Carlo study. Extensions of the proposed procedure to more complex situations are also discussed.

Keywords: random; effect; model; analysis; of; variance; (ANOVA); maximum; likelihood; (ML); estimator; restricted; maximum; likelihood; (REML); estimator (search for similar items in EconPapers)
Date: 1988
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Citations: View citations in EconPapers (1)

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