Title : ( Bayes Estimation Based on Random Censored Data for Some Life Time Models Under Symmetric and Asymmetric Loss Functions )
Authors: Jafar Ahmadi , Mahdi Doostparast , Ahmad Parsian ,
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Abstract
Censored data arise naturally in a number of fields, particularly in problems of reliability and survival analysis. There are several types of censoring; in this article, we shall confine ourselves to the right randomly censoring type. Under the Bayesian framework, we study the estimation of parameters in a general framework based on the random censored observations under Linear-Exponential (LINEX) and squared error loss (SEL) functions. As a special case, Weibull model is discussed and the admissibility of estimators of parameters verified. Finally, a simulation study is conducted based on Monte Carlo (MC) method for comparing estimated risks of the estimators obtained.
Keywords
Bayes estimation; Life time models; Lindley s approximation; LINEX loss function; Random censoring
@article{paperid:1016948,
author = {Ahmadi, Jafar and Doostparast, Mahdi and Ahmad Parsian},
title = {Bayes Estimation Based on Random Censored Data for Some Life Time Models Under Symmetric and Asymmetric Loss Functions},
journal = {Communications in Statistics - Theory and Methods},
year = {2010},
volume = {39},
number = {17},
month = {August},
issn = {0361-0926},
pages = {3058--3071},
numpages = {13},
keywords = {Bayes estimation; Life time models; Lindley s approximation; LINEX loss function; Random censoring},
}
%0 Journal Article
%T Bayes Estimation Based on Random Censored Data for Some Life Time Models Under Symmetric and Asymmetric Loss Functions
%A Ahmadi, Jafar
%A Doostparast, Mahdi
%A Ahmad Parsian
%J Communications in Statistics - Theory and Methods
%@ 0361-0926
%D 2010
