IMPROVED RATIO AND PRODUCT TYPE ESTIMATORS OF FINITE POPULATION MEAN IN SIMPLE RANDOM SAMPLING

Authors

  • Gajendra K. Vishwakarma Department of Applied Mathematics, Indian School of Mines, Dhanbad-826004, Jharkhand
  • Ravendra Singh Department of Mathematics and Statistics, Banasthali University, Jaipur-304022, Rajasthan,
  • P.C. Gupta Department of Mathematics and Statistics, Banasthali University, Jaipur-304022, Rajasthan
  • Sarla Pareek Department of Mathematics and Statistics, Banasthali University, Jaipur-304022, Rajasthan

Keywords:

Study variable, Auxiliary variable, bias, MSE, Efficiency

Abstract

In this paper, improved ratio and product type estimators have been developed for estimating the finite population mean of the study variable using auxiliary information in simple random sampling (SRS). The expressions for the bias and mean square error (MSE) of the proposed estimators are obtained under first order of approximation. Theoretical and empirical studies have been done to demonstrate the efficiencies of the proposed estimators over other well known
estimators.

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Published

2023-04-28

How to Cite

Vishwakarma, G. K., Singh, R., Gupta, P., & Pareek, S. (2023). IMPROVED RATIO AND PRODUCT TYPE ESTIMATORS OF FINITE POPULATION MEAN IN SIMPLE RANDOM SAMPLING. Investigación Operacional, 37(1). Retrieved from https://revistas.uh.cu/invoperacional/article/view/4543

Issue

Vol. 37 No. 1 (2016): Devoted to the 50th Anniversary of the Journal

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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