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Moving extreme ranked set sampling for simple linear regression

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Moving extreme ranked set sampling for simple linear regression
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journal STATISTICA & APPLICAZIONI
issue STATISTICA & APPLICAZIONI - 2009 - 2
title Moving extreme ranked set sampling for simple linear regression
authors


publisher Vita e Pensiero
format Article | Pdf
online since 2009
issn 18246672 (print)
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The moving extreme ranked set sampling, introduced by Alodat and Al-Saleh (2001), is a modification of the well known ranked set sampling approach that was proposed by McIntyre (1952). In this paper, we suggest new estimators for the simple linear regression parameters under the moving extreme ranked set sampling scheme. Moreover, we show that the proposed estimators are more efficient than their counterparts using the simple random sampling approach. We illustrate our ideas and thoughts via simulation and data analysis and conduct a comparison between our approach and the traditional ones. Keywords: Moving ranked set sampling, Ranked set sampling, Simple linear regression.

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