log-logistic survival estimation based on failure-censored data
作者:
H. A. Howlader,
G. Weiss,
期刊:
Journal of Applied Statistics
(Taylor Available online 1992)
卷期:
Volume 19,
issue 2
页码: 231-240
ISSN:0266-4763
年代: 1992
DOI:10.1080/02664769200000019
出版商: Carfax Publishing Company
数据来源: Taylor
摘要:
Approximations of the Bayesian estimators of the survival function based on the censored data of the log-logistic distribution are obtained under squared-error and log-odds squared-error loss functions. A numerical example is presented. Through a Monte Carlo simulation study, the behavior of the approximations found by Tierney & Kadane and Lindley are compared with a method suggested by Weiss & Howlader.
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