Characterizations of Life Distributions Using Conditional Expectations of Doubly (Interval) Truncated Random Variables

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Characterizations of Life Distributions Using Conditional Expectations of Doubly (Interval) Truncated Random Variables

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dc.contributor.author Sunoj, S M
dc.contributor.author Sankaran, P G
dc.contributor.author Maya, S S
dc.date.accessioned 2014-07-25T05:28:35Z
dc.date.available 2014-07-25T05:28:35Z
dc.date.issued 2008-09-05
dc.identifier.issn 0361-0926 print/1532-415X online
dc.identifier.uri http://dyuthi.cusat.ac.in/purl/4273
dc.description Communications in Statistics—Theory and Methods, 38: 1441–1452, 2009 en_US
dc.description.abstract In this article, we study reliability measures such as geometric vitality function and conditional Shannon’s measures of uncertainty proposed by Ebrahimi (1996) and Sankaran and Gupta (1999), respectively, for the doubly (interval) truncated random variables. In survival analysis and reliability engineering, these measures play a significant role in studying the various characteristics of a system/component when it fails between two time points. The interrelationships among these uncertainty measures for various distributions are derived and proved characterization theorems arising out of them en_US
dc.description.sponsorship Cochin University of Science and Technology en_US
dc.language.iso en en_US
dc.publisher Taylor & Francis en_US
dc.subject Generalized failure rate en_US
dc.subject Geometric vitality function en_US
dc.subject Shannon’s measure of uncertainty en_US
dc.title Characterizations of Life Distributions Using Conditional Expectations of Doubly (Interval) Truncated Random Variables en_US
dc.type Article en_US


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