Improved Maximum-Likelihood Estimation for the Common Shape Parameter of Several Weibull Populations

The biasness problem of the maximum-likelihood estimate (MLE) of the common shape parameter of several Weibull populations is examined in detail. A modified MLE (MMLE) approach is proposed. In the case of complete and Type II censored data, the bias of the MLE can be substantial. This is noticeable...

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Main Authors: YANG, Zhenlin, LIN, Dennis K. J.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2007
Subjects:
MLE
Online Access:https://ink.library.smu.edu.sg/soe_research/521
https://ink.library.smu.edu.sg/context/soe_research/article/1520/viewcontent/YangLin_ASMBI2007at.pdf
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spelling sg-smu-ink.soe_research-15202018-06-04T08:35:07Z Improved Maximum-Likelihood Estimation for the Common Shape Parameter of Several Weibull Populations YANG, Zhenlin LIN, Dennis K. J. The biasness problem of the maximum-likelihood estimate (MLE) of the common shape parameter of several Weibull populations is examined in detail. A modified MLE (MMLE) approach is proposed. In the case of complete and Type II censored data, the bias of the MLE can be substantial. This is noticeable even when the sample size is large. Such a bias increases rapidly as the degree of censorship increases and as more populations are involved. The proposed MMLE, however, is nearly unbiased and much more efficient than the MLE, irrespective of the degree of censorship, the sample sizes, and the number of populations involved. 2007-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/521 info:doi/10.1002/asmb.678 https://ink.library.smu.edu.sg/context/soe_research/article/1520/viewcontent/YangLin_ASMBI2007at.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University bias mean-squared error MLE modified MLE relative efficiency shape parameter type II censored data Weibull distributions Econometrics
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic bias
mean-squared error
MLE
modified MLE
relative efficiency
shape parameter
type II censored data
Weibull distributions
Econometrics
spellingShingle bias
mean-squared error
MLE
modified MLE
relative efficiency
shape parameter
type II censored data
Weibull distributions
Econometrics
YANG, Zhenlin
LIN, Dennis K. J.
Improved Maximum-Likelihood Estimation for the Common Shape Parameter of Several Weibull Populations
description The biasness problem of the maximum-likelihood estimate (MLE) of the common shape parameter of several Weibull populations is examined in detail. A modified MLE (MMLE) approach is proposed. In the case of complete and Type II censored data, the bias of the MLE can be substantial. This is noticeable even when the sample size is large. Such a bias increases rapidly as the degree of censorship increases and as more populations are involved. The proposed MMLE, however, is nearly unbiased and much more efficient than the MLE, irrespective of the degree of censorship, the sample sizes, and the number of populations involved.
format text
author YANG, Zhenlin
LIN, Dennis K. J.
author_facet YANG, Zhenlin
LIN, Dennis K. J.
author_sort YANG, Zhenlin
title Improved Maximum-Likelihood Estimation for the Common Shape Parameter of Several Weibull Populations
title_short Improved Maximum-Likelihood Estimation for the Common Shape Parameter of Several Weibull Populations
title_full Improved Maximum-Likelihood Estimation for the Common Shape Parameter of Several Weibull Populations
title_fullStr Improved Maximum-Likelihood Estimation for the Common Shape Parameter of Several Weibull Populations
title_full_unstemmed Improved Maximum-Likelihood Estimation for the Common Shape Parameter of Several Weibull Populations
title_sort improved maximum-likelihood estimation for the common shape parameter of several weibull populations
publisher Institutional Knowledge at Singapore Management University
publishDate 2007
url https://ink.library.smu.edu.sg/soe_research/521
https://ink.library.smu.edu.sg/context/soe_research/article/1520/viewcontent/YangLin_ASMBI2007at.pdf
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