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The generalized entropy measure to the design and comparison of regression experiment in a Bayesian context

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Pardo Llorente, Julio Ángel and Pardo Llorente, Leandro and Menéndez Calleja, María Luisa and Taneja, I.J. (1993) The generalized entropy measure to the design and comparison of regression experiment in a Bayesian context. Information Sciences, 73 (1-2). pp. 93-105. ISSN 0020-0255

Official URL: http://www.sciencedirect.com/science/article/pii/002002559390015E


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Abstract

Taneja [14] studied a unified (r, s)-entropy that includes as a particular case some of the known entropies. Based on this unified (r, s)-entropy, Pardo et al. [8] defined the average amount of information provided by an experiment X over the unknown parameter θ with prior knowledge p(θ). By using average amount of information in unified form, we compare experiments based on the Bayesian approach. Some connections with the criterion of Blackwell and Lehmann are also made. In this paper, an application of generalized entropy measures to the design and comparison of linear regression experiment is presented.


Item Type:Article
Uncontrolled Keywords:unified (r, s)-entropy; Blackwell-Lehmann criterion; average amount of information; generalized entropy measures; comparison of linear regression experiments
Subjects:Sciences > Mathematics > Mathematical statistics
ID Code:17904
Deposited On:23 Jan 2013 11:24
Last Modified:23 Jan 2013 11:24

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