DocumentCode
1316332
Title
Asymptotically Best Linear Unbiased Estimation of the Rayleigh Parameter for Complete and Tail-Censored Samples
Author
D´Agostino, Ralph B. ; Lee, Austin F.S.
Author_Institution
Department of Mathematics/Boston University/264 Bay State Road, 4th floor/Boston, Mass. 02215 USA
Issue
2
fYear
1975
fDate
6/1/1975 12:00:00 AM
Firstpage
156
Lastpage
157
Abstract
We present the asymptotically best linear unbiased estimator for the scale parameter of the Rayleigh distribution based on samples where there may be type 2 censoring in the tails. The coefficients of the estimator are expressible in simple closed forms. All that is needed is knowledge of the amount of censoring. The estimator has good efficiency even for samples as small as 5.
Keywords
Probability distribution; Statistical distributions; Statistics; Tail;
fLanguage
English
Journal_Title
Reliability, IEEE Transactions on
Publisher
ieee
ISSN
0018-9529
Type
jour
DOI
10.1109/TR.1975.5215125
Filename
5215125
Link To Document