Estimation of the Population Mean By Developing a New Estimator

Authors

  • Sudhanshu Aggarwal Assistant Professor, Department of Mathematics, National Post Graduate College Barhalganj, Gorakhpur 273402, Uttar Pradesh, India
  • Shiv Shankar Soni Assistant Professor, Department of Agricultural Statistics, National Post Graduate College Barhalganj, Gorakhpur-273402, Uttar Pradesh, India
  • Ram Sahay Chaubey Assistant Professor, Department of Agricultural Economics, National Post Graduate College Barhalganj, Gorakhpur-273402, Uttar Pradesh, India

DOI:

https://doi.org/10.48165/

Keywords:

Mean Square Error, Taylor Series Method, Ratio Estimator, Population Mean, Simple Random Samplin

Abstract

In the presented paper, authors propose a new estimator by combining two already exist ratio estimators and  estimate the population mean in simple random sampling. Authors also determine the mean square error (MSE)  of this estimator. In the last of this paper, they show that the presented estimator is more efficient than the  existing ratio estimators theoretically and numerically. 

References

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Published

2022-06-15

How to Cite

Aggarwal, S., Soni, S.S., & Chaubey, R.S. (2022). Estimation of the Population Mean By Developing a New Estimator . Bulletin of Pure & Applied Sciences- Mathematics and Statistics, 41(1), 11–15. https://doi.org/10.48165/