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A generalized class of difference type estimators for population median in survey sampling
Author(s) -
Javid Shabbir,
Sat Gupta
Publication year - 2016
Publication title -
hacettepe journal of mathematics and statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.312
H-Index - 26
ISSN - 1303-5010
DOI - 10.15672/hjms.201610614759
Subject(s) - mathematics , estimator , statistics , type (biology) , class (philosophy) , survey sampling , population mean , population , sampling (signal processing) , demography , artificial intelligence , ecology , sociology , computer science , biology , filter (signal processing) , computer vision
In this paper, we propose a generalized class of difference type estimators of nite population median in simple and stratied random sampling. The expressions for bias and mean square error are derived up to first order of approximation. Numerical comparisons reveal that the proposed class of estimators performs better than the unbiased sample median estimator, ratio estimator, exponential estimator, usual difference estimator, Rao [10] estimator and other difference type estimators.

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