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- W2772050642 abstract "This paper is concerned with the simultaneous estimation of $k$ population means when one suspects that the $k$ means are nearly equal. As an alternative to the preliminary test estimator based on the test statistics for testing hypothesis of equal means, we derive Bayesian and minimax estimators which shrink individual sample means toward a pooled mean estimator given under the hypothesis. It is shown that both the preliminary test estimator and the Bayesian minimax shrinkage estimators are further improved by shrinking the pooled mean estimator. The performance of the proposed shrinkage estimators is investigated by simulation." @default.
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- W2772050642 date "2019-01-01" @default.
- W2772050642 modified "2023-10-16" @default.
- W2772050642 title "Bayesian simultaneous estimation for means in <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=mml10 display=inline overflow=scroll altimg=si10.gif><mml:mi>k</mml:mi></mml:math>-sample problems" @default.
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- W2772050642 doi "https://doi.org/10.1016/j.jmva.2018.08.013" @default.
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