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Modified Ratio Estimator in Simple Random Sampling using Auxiliary Information

by Sumaira Ajmal Khan, Hafsa Abbas, Mehran Faiz, Lubna Shaheen
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 35
Year of Publication: 2021
Authors: Sumaira Ajmal Khan, Hafsa Abbas, Mehran Faiz, Lubna Shaheen
10.5120/ijca2021921711

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 },
issue_date = { Nov 2021 },
volume = { 183 },
number = { 35 },
month = { Nov },
year = { 2021 },
issn = { 0975-8887 },
pages = { 10-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number35/32154-2021921711/ },
doi = { 10.5120/ijca2021921711 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:18:43.751090+05:30
%A Sumaira Ajmal Khan
%A Hafsa Abbas
%A Mehran Faiz
%A Lubna Shaheen
%T Modified Ratio Estimator in Simple Random Sampling using Auxiliary Information
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 35
%P 10-13
%D 2021
%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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Index Terms

Computer Science
Information Sciences

Keywords

Variance estimator bias MSE simple random sampling auxiliary information efficiency

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