A Class of Ratio-Cum-Product Type Exponential Estimators under Simple Random Sampling

Year: 

2017

Number: 

1

Volume: 

66

Author: 

Gajendra K. Vishwakarma and Sayed Mohammed Zeeshan

Abstract: 

In this paper, a class of ratio-cum-product type exponential estimators have been proposed under simple random sampling to estimate the population mean. The proposed class of estimators has been compared with the other existing estimators. We have compared the efficiency of the proposed class of estimators with the other standard estimators and found through empirical study that the previous estimators are inferior to the present proposed class of estimators. The population used in the empirical study are all varying very much from each other and thus it demonstrate the superiority of the present estimators under all type of situation.

Keywords: 

auxiliary variable, study variable, simple random sampling, ratio type estimators, product type estimators, bias, MSE

Teacher's Corner: 

0