DocumentCode
1386638
Title
Approximate MLEs for the location and scale parameters of the half-logistic distribution with type-II right-censoring
Author
Balakrishnan, N. ; Wong, K.H.T.
Author_Institution
Dept. of Math. & Stat., McMaster Univ., Hamilton, Ont., Canada
Volume
40
Issue
2
fYear
1991
fDate
6/1/1991 12:00:00 AM
Firstpage
140
Lastpage
145
Abstract
For the half-logistic distribution the maximum likelihood method does not provide an explicit estimator for the scale parameter based on either complete or right-censored samples. The authors provide a simple method of deriving an explicit estimator by approximating the likelihood function. The bias and variance of this estimator are studied, and it is shown that this estimator is as efficient as the best linear unbiased estimator. An example to illustrate the method is presented
Keywords
life testing; parameter estimation; reliability theory; statistical analysis; MLE; bias; explicit estimator; failure rate; half-logistic distribution; life testing; location parameter; maximum likelihood estimation; reliability; scale parameter; type-II right-censoring; variance; Distributed computing; Ducts; Hazards; Life testing; Logistics; Maximum likelihood estimation; Random variables; Statistical distributions; Statistics;
fLanguage
English
Journal_Title
Reliability, IEEE Transactions on
Publisher
ieee
ISSN
0018-9529
Type
jour
DOI
10.1109/24.87114
Filename
87114
Link To Document