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An Empirical Bayes Smoothing Technique

Glen H. Lemon and Richard G. Krutchkoff
Biometrika
Vol. 56, No. 2 (Aug., 1969), pp. 361-365
Published by: Oxford University Press on behalf of Biometrika Trust
DOI: 10.2307/2334428
Stable URL: http://www.jstor.org/stable/2334428
Page Count: 5
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
An Empirical Bayes Smoothing Technique
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Abstract

Empirical Bayes procedures generally require the estimation of marginal probabilities. Maritz (1966) showed that the usual estimator for a discrete probability afforded the empirical Bayes technique poor small sample properties. He suggested smoothing the estimators of discrete probabilities. Here we present a general procedure for smoothing probabilities and apply it to the Poisson situation.

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