Comparison of Various Methods for Estimating Finite Population Total in Survey Sampling When Study Variable and Auxiliary Variable are Inversely Related

Authors

  • S. Kumar Narendra Deva University of Agriculture and Technology, Kumarganj, Faizabad – 224229, (U.P.),
  • B. V. S. Sisodia

DOI:

https://doi.org/10.3329/jsr.v11i1.36922

Abstract

In the present paper, a model based calibration estimator of population total has been developed when study variable y and auxiliary variable x are inversely related. The relative performance of the proposed model based calibration estimator in comparison to model based estimator, the usual regression estimator and calibration based regression estimator have been examined by conducting a limited simulation study. In view of the results of the simulation study, it has been found that model based calibration estimator has outperformed the other estimators. However, calibration based regression estimator was found to be close to the model based calibration estimator.

 

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Author Biography

S. Kumar, Narendra Deva University of Agriculture and Technology, Kumarganj, Faizabad – 224229, (U.P.),

Department of Agricultural Statistics,

Narendra Deva University of Agriculture and Technology,
Kumarganj, Faizabad – 224229, (U.P.),

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Published

2019-01-01

How to Cite

Kumar, S., & Sisodia, B. V. S. (2019). Comparison of Various Methods for Estimating Finite Population Total in Survey Sampling When Study Variable and Auxiliary Variable are Inversely Related. Journal of Scientific Research, 11(1), 15–22. https://doi.org/10.3329/jsr.v11i1.36922

Issue

Vol. 11 No. 1 (2019)

Section

Section A: Physical and Mathematical Sciences

License

© Journal of Scientific Research

Creative Commons License

Articles published in the "Journal of Scientific Research" are Open Access articles under a Creative Commons Attribution-ShareAlike 4.0 International license (CC BY-SA 4.0). This license permits use, distribution and reproduction in any medium, provided the original work is properly cited and initial publication in this journal. In addition to that, users must provide a link to the license, indicate if changes are made and distribute using the same license as original if the original content has been remixed, transformed or built upon.