DocumentCode
1352003
Title
Quantile Estimates in Complete and Censored Samples From Extreme-Value and Weibull Distributions
Author
Hassanein, Khatab M. ; Saleh, A.K.Md.Ehsanes ; Brown, Edward F.
Author_Institution
Department of Biometry; Kansas University Medical Center; Kansas City, Kansas 66103 USA.
Issue
5
fYear
1984
Firstpage
370
Lastpage
373
Abstract
This paper deals with the problem of estimating the quantiles (¿) = 0.01, 0.05(0.05)0.95, 0.99 of the largest extreme-value distribution by using order statistics in small samples. Linear unbiased estimators, with minimum variance, based on ordered observations are constructed for sample sizes 5(5)20 for both complete and right-censored samples.
Keywords
Cities and towns; Covariance matrix; Maximum likelihood estimation; Paper technology; Reliability engineering; Statistical analysis; Statistical distributions; Statistics; Tiles; Weibull distribution; Extreme-value distribution; Largest value; Order statistic; Quantile estimator; Weibull distribution;
fLanguage
English
Journal_Title
Reliability, IEEE Transactions on
Publisher
ieee
ISSN
0018-9529
Type
jour
DOI
10.1109/TR.1984.5221868
Filename
5221868
Link To Document