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Best Linear Unbiased Estimates of the Parameters of the Logistic Distribution Based on Selected Order Statistics

 

作者: LaiK. Chan,   N.N. Chan,   E.R. Mead,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1971)
卷期: Volume 66, issue 336  

页码: 889-892

 

ISSN:0162-1459

 

年代: 1971

 

DOI:10.1080/01621459.1971.10482365

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

Coefficients, variances and efficiencies are provided for the best linear unbiased estimates (BLUE's) of the mean and standard deviation of the logistic distribution, with both unknown, based on four order statistics with ranks giving the maximum joint efficiency among all BLUE's based on four order statistics. Asymptotic joint efficiencies are compared for asymptotically best linear estimates (ABLE's) based on order statistics with ranks determined by various spacings. With one parameter known, the BLUE's and ABLE's, using order statistics with ranks determined by the optimum spacings of the ABLE's, have efficiencies close to those of BLUE's based on optimum ranks.

 

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