Implications of the Cressie-Read Family of Additive Divergences for Information Recovery

Implications of the Cressie-Read Family of Additive Divergences for Information Recovery

To address the unknown nature of probability-sampling models, in this paper we use information theoretic concepts and the Cressie-Read (CR) family of information divergence measures to produce a flexible family of probability distributions, likelihood functions, estimators, and inference procedures....

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Bibliographic Details
Main Authors: George G. Judge, Ron C. Mittelhammer
Format: Article
Language:English
Published: MDPI AG 2012-12-01
Series:Entropy
Subjects:
conditional moment equations
Cressie-Read divergence
information theoretic methods
minimum power divergence
information functionals
Online Access:http://www.mdpi.com/1099-4300/14/12/2427

Internet

http://www.mdpi.com/1099-4300/14/12/2427

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