Research Article
Modified Ratio Estimator in Simple Random Sampling using Auxiliary Information
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 183 - Issue 35 |
| Published: Nov 2021 |
| Authors: Sumaira Ajmal Khan, Hafsa Abbas, Mehran Faiz, Lubna Shaheen |
10.5120/ijca2021921711
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Sumaira Ajmal Khan, Hafsa Abbas, Mehran Faiz, Lubna Shaheen . Modified Ratio Estimator in Simple Random Sampling using Auxiliary Information. International Journal of Computer Applications. 183, 35 (Nov 2021), 10-13. DOI=10.5120/ijca2021921711
@article{ 10.5120/ijca2021921711,
author = { Sumaira Ajmal Khan,Hafsa Abbas,Mehran Faiz,Lubna Shaheen },
title = { Modified Ratio Estimator in Simple Random Sampling using Auxiliary Information },
journal = { International Journal of Computer Applications },
year = { 2021 },
volume = { 183 },
number = { 35 },
pages = { 10-13 },
doi = { 10.5120/ijca2021921711 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2021
%A Sumaira Ajmal Khan
%A Hafsa Abbas
%A Mehran Faiz
%A Lubna Shaheen
%T Modified Ratio Estimator in Simple Random Sampling using Auxiliary Information%T
%J International Journal of Computer Applications
%V 183
%N 35
%P 10-13
%R 10.5120/ijca2021921711
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this study, we offer a new estimator for population variance in simple random sampling based on auxiliary information. We calculated the proposed estimator's bias and MSE equations and compared them to the bias and MSE of existing estimators, demonstrating that the new estimator is more efficient than the existing estimators proposed by different authors. With the aid of numerical example, we can support this theoretical result.
References
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