On the maximum likelihood estimation of the location and scale parameters of exponential distribution based on multiply Type II censored samples
作者:
N. Balakrishnan,
期刊:
Journal of Applied Statistics
(Taylor Available online 1990)
卷期:
Volume 17,
issue 1
页码: 55-61
ISSN:0266-4763
年代: 1990
DOI:10.1080/757582647
出版商: Carfax Publishing Company
数据来源: Taylor
摘要:
The maximum likelihood (ML) estimation of the location and scale parameters of an exponential distribution based on singly and doubly censored samples is given. When the sample is multiply censored (some middle observations being censored), however, the ML method does not admit explicit solutions. In this case we present a simple approximation to the likelihood equation and derive explicit estimators which are linear functions of order statistics. Finally, we present some examples to illustrate this method of estimation.
点击下载:
PDF (244KB)
返 回