Linear Estimation of the Logistic Parameters for Complete or Tail-Censored Samples
作者:
RalphB. D'agostino,
AustinF. S. Lee,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1976)
卷期:
Volume 71,
issue 354
页码: 462-464
ISSN:0162-1459
年代: 1976
DOI:10.1080/01621459.1976.10480369
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
In this paper we present the asymptotically best linear unbiased estimators for the location and scale parameters of the logistic distribution based on samples where there may be Type 2 censoring in the tails. Given the amount of censoring, the weights of the estimators can be expressed in simple closed forms. Comparisons of these with the best linear unbiased estimators and the Cramer-Rao lower bounds demonstrate that they have good efficiency even for small samples.
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