Likelihood Based Estimation in the Logistic Model with Time Censored Data

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

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Abstract

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.

Item Type:Article
Keyword:Confidence intervals, logistic distribution, maximum likelihood estimator, time censored data
Publisher:Universiti Putra Malaysia Press
ID Code:3763
Deposited By: Nur Izzati Mohd Zaki
Deposited On:01 Dec 2009 04:57
Last Modified:27 May 2013 07:11

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