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A Note on the Residual Entropy Function

Published online by Cambridge University Press:  27 July 2009

Pietro Muliere ,
Giovanni Parmigiani  and
Nicholas G. Polson
Pietro Muliere
Affiliation:
Dipartimento di Economia Politica e Metodi Quantitativi, Università di Pavia, via San Felice 5, Pavia, Italy, 27100
Giovanni Parmigiani
Affiliation:
Institute of Statistics and Decision Sciences, Duke University, Durham, North Carolina, 27708-0251
Nicholas G. Polson
Affiliation:
Graduate School of Business, University of Chicago, 1101 East 58th Street, Chicago, Illinois 60637
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Abstract

Interest in the informational content of truncation motivates the study of the residual entropy function, that is, the entropy of a right truncated random variable as a function of the truncation point. In this note we show that, under mild regularity conditions, the residual entropy function characterizes the probability distribution. We also derive relationships among residual entropy, monotonicity of the failure rate, and stochastic dominance. Information theoretic measures of distances between distributions are also revisited from a similar perspective. In particular, we study the residual divergence between two positive random variables and investigate some of its monotonicity properties. The results are relevant to information theory, reliability theory, search problems, and experimental design.

Information

Type
Research Article
Information
Probability in the Engineering and Informational Sciences , Volume 7 , Issue 3 , July 1993 , pp. 413 - 420
Copyright
Copyright © Cambridge University Press 1993

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