Generalized Ratio-Cum-Product Estimator for Estimating Population Mean in Systematic Sampling

Rafia Jan¹ , Asra Nazir² , Showkat Maqbool³ , T. R. Jan⁴

Section:Research Paper, Product Type: Isroset-Journal
Vol.5 , Issue.4 , pp.350-353, Aug-2018

CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v5i4.350353

Online published on Aug 31, 2018

Copyright © Rafia Jan, Asra Nazir, Showkat Maqbool , T. R. Jan . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
This manuscript suggests a generalized class of ratio-cum-product estimator in systematic sampling. The Mean Square Error (MSE) of the suggested class and mathematical conditions have been also derived to prove the efficiency of proposed estimators. The results are justified numerically.

Key-Words / Index Term :
Auxiliary variate; Bias; Efficiency; Mean Squared Error.

References :
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