Improved and Robust Estimators for Finite Population Variance Using Linear Combination of Probability Weighted Moment and Quartiles as Auxiliary Information

M. A Bhat, S Maqbool, S. A Saraf, S. H Malik, Yasmeena Ismail and Mir Subzar
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M. A Bhat: Division of Economics and Statistics, SKUAST-Kashmir, Wadura, India.
S Maqbool: Division of Economics and Statistics, SKUAST-Kashmir, Wadura, India.
S. A Saraf: Division of Economics and Statistics, SKUAST-Kashmir, Wadura, India.
S. H Malik: Agri-Business Management, SHUATS, Allahabad, U.P., India.
Yasmeena Ismail: Division of Agricultural Statistics, SKUAST-Kashmir, Shalimar, India.
Mir Subzar: Division of Agricultural Statistics, SKUAST-Kashmir, Shalimar, India.

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Abstract: By adapting the scheme of modification technique, we have developed some new ratio type variance estimators to estimate the finite population variance for skewed populations under survey. We have also derived the functions of efficiency to intensify the quality of efficacy of newly developed estimators. The bias and mean square error of present and newly developed estimators has been worked out through numerical problem to determine the improvement of newly developed estimators over present estimators.

Date: 2018-03-16
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Published in Journal of Scientific Research and Reports, 2018, 18 (4), pp.1-6

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05364033

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