Regression Estimators in Ranked Set, Median Ranked Set and Neoteric Ranked Set Sampling

Nursel Koyuncu

Abstract


This paper proposes new regression estimators in median ranked set and neoteric ranked set sampling using one and two auxiliary variables. The proposed estimators have large gain in presicion compared to the classical ranked set sampling (RSS) design. A simulation study is designed to see the performance of suggested estimators. A real data set example is also used. In this data set, we have examined a rare endemic annual plant species which is grown in Turkey. We have found that suggested estimators are highly efficient that existing estimators.

Keywords


median ranked set sampling, neoteric ranked set sampling, regression estimator, efficiency.

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DOI: http://dx.doi.org/10.18187/pjsor.v14i1.1825

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Copyright (c) 2018 Pakistan Journal of Statistics and Operation Research

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Title

Regression Estimators in Ranked Set, Median Ranked Set and Neoteric Ranked Set Sampling

Keywords

median ranked set sampling, neoteric ranked set sampling, regression estimator, efficiency.

Description

This paper proposes new regression estimators in median ranked set and neoteric ranked set sampling using one and two auxiliary variables. The proposed estimators have large gain in presicion compared to the classical ranked set sampling (RSS) design. A simulation study is designed to see the performance of suggested estimators. A real data set example is also used. In this data set, we have examined a rare endemic annual plant species which is grown in Turkey. We have found that suggested estimators are highly efficient that existing estimators.

Date

2018-03-09

Identifier


Source

Pakistan Journal of Statistics and Operation Research; Vol. 14 No. 1, 2018



Print ISSN: 1816-2711 | Electronic ISSN: 2220-5810