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Likelihood Based Estimation in the Logistic Model with Time Censored Data

Inference procedures based on the likelihood function are considered for the one logistic distribution with time censored data. The finite sample performances of the maximum likelihood estimator as well as the large sample likelihood inferential procedures based on the Wald, the Rao, and the like...

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Main Author: Baklizi, Ayman
Format: Article
Language:English
English
Published: Universiti Putra Malaysia Press 2002
Online Access:http://psasir.upm.edu.my/id/eprint/3763/1/Likelihood_Based_Estimation_in_the_Logistic_Model.pdf
http://psasir.upm.edu.my/id/eprint/3763/
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spelling my.upm.eprints.37632013-05-27T07:11:02Z http://psasir.upm.edu.my/id/eprint/3763/ Likelihood Based Estimation in the Logistic Model with Time Censored Data Baklizi, Ayman Inference procedures based on the likelihood function are considered for the one logistic distribution with time censored data. The finite sample performances of the maximum likelihood estimator as well as the large sample likelihood inferential procedures based on the Wald, the Rao, and the likelihood ratio statistics are investigated. It is found that the obtained from the asymptotic normal distribution of the maximum likelihood estimator are found no accurate. It is found also that interval estimation based on the Wald and Rao statistics need much more sample size than interval estimation based on the likelihood ratio statistics to attain reasonable accuracy. Universiti Putra Malaysia Press 2002 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/3763/1/Likelihood_Based_Estimation_in_the_Logistic_Model.pdf Baklizi, Ayman (2002) Likelihood Based Estimation in the Logistic Model with Time Censored Data. Pertanika Journal of Science & Technology, 10 (1). pp. 55-62. ISSN 0128-7680 English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description Inference procedures based on the likelihood function are considered for the one logistic distribution with time censored data. The finite sample performances of the maximum likelihood estimator as well as the large sample likelihood inferential procedures based on the Wald, the Rao, and the likelihood ratio statistics are investigated. It is found that the obtained from the asymptotic normal distribution of the maximum likelihood estimator are found no accurate. It is found also that interval estimation based on the Wald and Rao statistics need much more sample size than interval estimation based on the likelihood ratio statistics to attain reasonable accuracy.
format Article
author Baklizi, Ayman
spellingShingle Baklizi, Ayman
Likelihood Based Estimation in the Logistic Model with Time Censored Data
author_facet Baklizi, Ayman
author_sort Baklizi, Ayman
title Likelihood Based Estimation in the Logistic Model with Time Censored Data
title_short Likelihood Based Estimation in the Logistic Model with Time Censored Data
title_full Likelihood Based Estimation in the Logistic Model with Time Censored Data
title_fullStr Likelihood Based Estimation in the Logistic Model with Time Censored Data
title_full_unstemmed Likelihood Based Estimation in the Logistic Model with Time Censored Data
title_sort likelihood based estimation in the logistic model with time censored data
publisher Universiti Putra Malaysia Press
publishDate 2002
url http://psasir.upm.edu.my/id/eprint/3763/1/Likelihood_Based_Estimation_in_the_Logistic_Model.pdf
http://psasir.upm.edu.my/id/eprint/3763/
_version_ 1643822705863032832
score 13.211869

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