Estimation of the Population Mean By Developing a New Estimator
9.38$
Year : 2022,
Volume & Issue : BPAS-Maths & Stat 41E(1), JAN-JUN 2022
Page No. : 11-15,
Article Type : Original Aticle
Article DOI : 10.5958/2320-3226.2022.00003.0 (Received on 10.12.2021/ Revised on 10.02.2022/ Accepted on 21.03.2022 Online First Published on June 15, 2022 at https://www.bpasjournals.com/)
Description
Description
*Sudhanshu Aggarwal1, Shiv Shankar Soni2, Ram Sahay Chaubey3
Author’s Affiliation : 1Assistant Professor, Department of Mathematics, National Post Graduate College Barhalganj, Gorakhpur-273402, Uttar Pradesh, India
E-mail: sudhanshu30187@gmail.com 2Assistant Professor, Department of Agricultural Statistics, National Post Graduate College Barhalganj, Gorakhpur-273402, Uttar Pradesh, India
E-mail: sonishivshankar@gmail.com 3Assistant Professor, Department of Agricultural Economics, National Post Graduate College Barhalganj, Gorakhpur-273402, Uttar Pradesh, India
E-mail: ramsahaychaubeynpg@gmail.com
Corresponding Author : Sudhanshu Aggarwal, Assistant Professor, Department of Mathematics, National Post Graduate College Barhalganj, Gorakhpur-273402, Uttar Pradesh, India,
E-Mail:- sudhanshu30187@gmail.com
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.
MSC2010: 62N02; 62G05; 62H12
How to cite this article: Aggarwal S, Soni SS, Chaubey RS. (2022). Estimation of the Population Mean By Developing a New Estimator. Bull. Pure Appl. Sci. Sect. E Math. Stat. 41E(1), 11-15.
Keywords
Mean Square Error; Taylor Series Method; Ratio Estimator; Population Mean; Simple Random Sampling.
