Journal of Computational and Applied Mathematics2022,Vol.41018.DOI:10.1016/j.cam.2022.114214

Predictive estimation approach using difference and ratio type estimators in ranked set sampling

Bhushan, Shashi Kumar, Anoop
Journal of Computational and Applied Mathematics2022,Vol.41018.DOI:10.1016/j.cam.2022.114214

Predictive estimation approach using difference and ratio type estimators in ranked set sampling

Bhushan, Shashi 1Kumar, Anoop2
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作者信息

  • 1. Univ Lucknow
  • 2. Dr Shakuntala Misra Natl Rehabil Univ
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Abstract

In this article, we introduce the predictive estimation approach for estimating the population mean using modified difference and ratio type predictive estimators in ranked set sampling. The expressions of bias and mean square error of the proffered predictive estimators are reported to the first order of approximation. A comparative study of the proffered predictive estimators with the conventional predictive estimators under simple random sampling and ranked set sampling is considered. The theoretical findings have been supported by a broad spectrum computational study carried out using various real and simulated data sets. Further, the appropriate suggestions are forwarded to the survey professionals. (C) 2022 Elsevier B.V. All rights reserved.

Key words

Predictive estimation/Ranked set sampling

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
被引量4
参考文献量37
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