A Unified Approach to Choosing Optimum Quantiles for the ABLE's

Due to its computational simplicity and efficiency, asymptotically best linear estimates (ABLE) based on order statistics selected from a complete, or censored, sample are of particular importance. This article deals with a unified method for finding the optimum spacing (eventually the optimum rank...

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Bibliographic Details
Published in:Journal of the American Statistical Association 1975-03, Vol.70 (349), p.155-159
Main Author: Cheng, Smiley W.
Format: Article
Language:English
Subjects:
Analytical estimating
Censorship
Data sampling
Estimation theory
Mathematical independent variables
Preliminary estimates
Quantiles
Quarterly estimates
Sampling distributions
Statistical estimation
Theory and Methods
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Summary:Due to its computational simplicity and efficiency, asymptotically best linear estimates (ABLE) based on order statistics selected from a complete, or censored, sample are of particular importance. This article deals with a unified method for finding the optimum spacing (eventually the optimum rank of the order statistics) for the ABLE. Application of the method estimating one of the two (location and scale) parameters of various distributions is also discussed.
ISSN:0162-1459
1537-274X
DOI:10.1080/01621459.1975.10480277