ON RATIO ESTIMATION USING AUXILIARY INFORMATION IN SURVEY SAMPLING

T.A. RAJA1*, S. MAQBOOL2, M. SUBZAR3
1Division of Agricultural Statistics & Economics, Faculty of Agriculture, Wadura, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, 190025, India
2Division of Agricultural Statistics & Economics, Faculty of Agriculture, Wadura, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, 190025, India
3Division of Agricultural Statistics & Economics, Faculty of Agriculture, Wadura, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, 190025, India
* Corresponding Author : tariqaraja@rediffmail.com

Received : 03-02-2023     Accepted : 26-02-2023     Published : 28-02-2023
Volume : 15     Issue : 2       Pages : 12199 - 12203
Int J Agr Sci 15.2 (2023):12199-12203

Keywords : Non-Conventional Parameters, Ratio estimators, MSE, Efficiency
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to Division of Agricultural Statistics & Economics, Faculty of Agriculture, Wadura, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, 190025, India
Author Contribution : All authors equally contributed

Cite - MLA : RAJA, T.A., et al "ON RATIO ESTIMATION USING AUXILIARY INFORMATION IN SURVEY SAMPLING." International Journal of Agriculture Sciences 15.2 (2023):12199-12203.

Cite - APA : RAJA, T.A., MAQBOOL, S., SUBZAR, M. (2023). ON RATIO ESTIMATION USING AUXILIARY INFORMATION IN SURVEY SAMPLING. International Journal of Agriculture Sciences, 15 (2), 12199-12203.

Cite - Chicago : RAJA, T.A., S. MAQBOOL, and M. SUBZAR. "ON RATIO ESTIMATION USING AUXILIARY INFORMATION IN SURVEY SAMPLING." International Journal of Agriculture Sciences 15, no. 2 (2023):12199-12203.

Copyright : © 2023, T.A. RAJA, et al, Published by Bioinfo Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Abstract

The study was undertaken to propose new reformed ratio estimators for estimating population mean utilizing the auxiliary information of non-conventional location parameters such as Tri-Mean, Mid-Range Hodges-Lehmann with coefficient of kurtosis and coefficient of skewness in simple random sampling. The features of proposed estimators are assessed by mean square error and bias. For practical demonstration a numerical illustration was provided, which endorses that proposed estimators in this study are also efficient in line with the existing estimators

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