Estimation of the population mean by developing a new estimator Aggarwal Sudhanshu1,*, Soni Shiv Shankar2, Chaubey Ram Sahay3 1Assistant Professor, Department of Mathematics, National Post Graduate CollegeBarhalganj, Gorakhpur-273402, Uttar Pradesh, India E-mail: sudhanshu30187@gmail.com 2Assistant Professor, Department of Agricultural Statistics, National Post Graduate CollegeBarhalganj, Gorakhpur-273402, Uttar Pradesh, India E-mail: sonishivshankar@gmail.com 3Assistant Professor, Department of Agricultural Economics, National Post Graduate CollegeBarhalganj, Gorakhpur-273402, Uttar Pradesh, India E-mail: ramsahaychaubeynpg@gmail.com *Corresponding Author: Sudhanshu Aggarwal, Assistant Professor, Department of Mathematics, National Post Graduate CollegeBarhalganj, Gorakhpur-273402, Uttar Pradesh, India E-mail: sudhanshu30187@gmail.com
Online published on 6 July, 2022. 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. Top Keywords Mean Square Error, Taylor Series Method, Ratio Estimator, Population Mean, Simple Random Sampling. Top |