A Class of Estimators of Population Mean in Case of Post Stratification

Abstract

This paper proposes a class of ratio-cum-product type estimators in case of post-stratification. Particular members of the proposed class of ratio-cum-product type estimators have been identified and studied thoroughly from efficiency point of view. It has been shown that the identified particular estimators are more efficient than the usual unbiased estimator, Ige and Tripathi (1989) estimators, Chouhan (2012) estimators, Tailor et al. (2016) estimator and other considered estimators. An empirical study has been carried out to demonstrate the performance of the proposed estimators.

Improved Estimators using Exponential Function for the Population Mean in Simple and Stratified Random Samplings

“…We have used the data set of Lone and Tailor (2016) to show the proposed estimator applicable in the stratified random sampling. Note that for this data set, y= output x= fixed Capital The descriptive statistics of the population are given in Table 6.…”

Improved Exponential Type Ratio Estimator in Double Sampling for Stratification

“…extended this work by suggesting and studying ratio-type and product-type exponential estimators. Other researchers, such as Tailor and Lone (2014), Singh and Nigam (2020), Gupta and Tailor (2021), and Lone et al (2022), Singh et al (2023aSingh et al ( , 2023b have also proposed estimators based on ratios and products in exponential estimators for the estimation of population mean.…”