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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 10, Issue:2, February, 2021

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2021.10(2): 809-815
DOI: https://doi.org/10.20546/ijcmas.2021.1002.096


Utilizing Sample Size Information for Improved Estimation of Population Mean in Agriculture Surveys
K. Yadav1, Shailendra Kumar2* and Tanuj Misra2
1National Institute of Health & Family Welfare, New Delhi, India
2Rani Lakshmi Bai Central Agricultural University, Jhansi, U.P., India
*Corresponding author
Abstract:

Sample size is a very important feature for estimation of population parameters in various socio-economic and agricultural surveys. Precision of population estimates depends on adequate sample size. In the present paper, we are developing an improved estimation technique for estimating population mean using sample size as auxiliary information. The asymptotic properties of proposed estimator like bias and mean square error (MSE) have been obtained up to first order of approximation. An efficiency comparison is also made between proposed estimator and other competing estimators. To justify theoretical results an empirical study is also carried out.


Keywords: Estimation,Bias, MSE

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How to cite this article:

Yadav, D. K., Shailendra Kumar and Tanuj Misra. 2021. Utilizing Sample Size Information for Improved Estimation of Population Mean in Agriculture Surveys.Int.J.Curr.Microbiol.App.Sci. 10(2): 809-815. doi: https://doi.org/10.20546/ijcmas.2021.1002.096
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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