Linear estimation of the location and scale parameters based on selected order statistics

This paper gives a review of the best linear estimates of the location and/or scale parameters based on a few order statistics selected from a complete or censored sample. Small sample and large sample cases are considered and compared. Some examples of the practical applications of the estimates ar...

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Veröffentlicht in:	Communications in statistics. Theory and methods 1988-01, Vol.17 (7), p.2259-2278
Hauptverfasser:	Chan, Lai K, W, Cheng
Format:	Artikel
Sprache:	eng
Schlagworte:	censored sample Exact sciences and technology linear estimation local and scale parameters Mathematics Parametric inference Probability and statistics Sciences and techniques of general use selected order statistics Statistics
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description	This paper gives a review of the best linear estimates of the location and/or scale parameters based on a few order statistics selected from a complete or censored sample. Small sample and large sample cases are considered and compared. Some examples of the practical applications of the estimates are outlined.
doi_str_mv	10.1080/03610928808829745
format	Article
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Theory and methods</title><description>This paper gives a review of the best linear estimates of the location and/or scale parameters based on a few order statistics selected from a complete or censored sample. Small sample and large sample cases are considered and compared. 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source	Taylor & Francis Journals Complete
subjects	censored sample Exact sciences and technology linear estimation local and scale parameters Mathematics Parametric inference Probability and statistics Sciences and techniques of general use selected order statistics Statistics
title	Linear estimation of the location and scale parameters based on selected order statistics
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