Characterizations of Life Distributions Using Conditional Expectations of Doubly (Interval) Truncated Random Variables
Data(s) |
25/07/2014
25/07/2014
05/09/2008
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Resumo |
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 Communications in Statistics—Theory and Methods, 38: 1441–1452, 2009 Cochin University of Science and Technology |
Identificador |
0361-0926 print/1532-415X online |
Idioma(s) |
en |
Publicador |
Taylor & Francis |
Palavras-Chave | #Generalized failure rate #Geometric vitality function #Shannon’s measure of uncertainty |
Tipo |
Article |