Improved and Robust Estimators for Finite Population Variance Using Linear Combination of Probability Weighted Moment and Quartiles as Auxiliary Information
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.
*Author to whom correspondence should be addressed.
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.
Keywords: Simple random sampling, bias, mean square error, probability weighted moment and quartiles, efficiency.