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Development of Efficient Estimation Technique for Population Mean in Two Phase Sampling Using Fuzzy Tools Cover

Development of Efficient Estimation Technique for Population Mean in Two Phase Sampling Using Fuzzy Tools

Open Access
|Jan 2018

Abstract

The present investigation deals with the problem of estimation of population mean in two-phase (double) sampling. Utilizing information on two auxiliary variables, one chain exponential ratio and regression type estimator has been proposed and its properties are studied under two different structures of twophase sampling. To make the estimator practicable, unbiased version of the proposed strategy has also been developed. The dominance of the suggested estimator over some contemporary estimators of population mean has been established through numerical illustrations carried over the data set of some natural population and artificially generated population. Categorization of the dominance ranges of the proposed estimation strategies are deployed through defuzzification tools, which are followed by suitable recommendations.

DOI: https://doi.org/10.1515/jamsi-2017-0006 | Journal eISSN: 1339-0015 | Journal ISSN: 1336-9180
Language: English
Page range: 5 - 28
Published on: Jan 11, 2018
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:

© 2018 P. Parichha, K. Basu, A. Bandyopadhyay, P. Mukhopadhyay, published by University of Ss. Cyril and Methodius in Trnava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.