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Carl N. Morris
Researcher at University of Central Lancashire
Publications - 88
Citations - 10675
Carl N. Morris is an academic researcher from University of Central Lancashire. The author has contributed to research in topics: Estimator & Bayes' theorem. The author has an hindex of 33, co-authored 86 publications receiving 10270 citations. Previous affiliations of Carl N. Morris include Swarthmore College & RAND Corporation.
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Parametric Empirical Bayes Inference: Theory and Applications
TL;DR: In this paper, a review of the state of the art in multiparameter shrinkage estimators with emphasis on the empirical Bayes viewpoint, particularly in the case of parametric prior distributions, is presented.
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A Comparison of Alternative Models for the Demand for Medical Care
TL;DR: This article used a split-sample analysis and found that a model that more closely approximates distributional assumptions and uses a nonparametric retransformation factor performs better in terms of mean squared forecast error.
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Stein's Estimation Rule and Its Competitors- An Empirical Bayes Approach
Bradley Efron,Carl N. Morris +1 more
TL;DR: In this paper, the positive part version of Stein's estimator is one member of a class of "good" rules that have Bayesian properties and also dominate the MLE, and other members of this class are also useful in various situations.
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Data Analysis Using Stein's Estimator and its Generalizations
Bradley Efron,Carl N. Morris +1 more
TL;DR: In this article, the mean of a multivariate normal distribution having uniformly lower mean squared error than the sample mean is reviewed briefly in an empirical Bayes context and applied to predict baseball averages, to estimate toxomosis prevalence rates, and to estimate the exact size of Pearson's chi-square test with results from a computer simulation.