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Inference for Weibull distribution under generalized order statistics
Faculty
Computer Science
Year:
2010
Type of Publication:
Article
Pages:
26-36
Authors:
Aboeleneen, Z. A
DOI:
10.1016/j.matcom.2010.06.013
Journal:
MATHEMATICS AND COMPUTERS IN SIMULATION ELSEVIER SCIENCE BV
Volume:
81
Research Area:
Computer Science; Mathematics
ISSN
ISI:000282566500004
Keywords :
Bayesian estimator, Symmetric loss function, Generalized order statistics, Progressive censoring, Record values
Abstract:
Based on generalized order statistics from Weibull distribution the approach of Bayesian and non-Bayesian estimation are discussed. We present a simple and efficient simulational algorithm for generating a generalized order statistics sample from any continuous distribution. Specializations to Bayesian and non-Bayesian estimators, some lifetime parameters and confidence intervals of progressive II censoring and record values are obtained and compared with the existing results. Two examples are given to illustrate the proposed estimators and the simulation algorithm. (C) 2010 IMACS. Published by Elsevier B.V. All rights reserved.
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