This article aims to suggest a new improved generalized class of estimators for finite
population distribution function of the study and the auxiliary variables as well as mean of …

This paper offers a novel approach to formulate efficient ratio estimator of the population
variance using a transformed auxiliary variable. The impact of transformation on auxiliary …

The problem of estimating the variance of a finite population is an important issue in
practical situations where controlling variability is difficult. During experiments conducted in …

This paper contributes to the existing literature on variance estimators by utilizing
supplementary information. The variance estimation problem of a finite population is a …

In this article, we propose a new improved ratio-product type exponential estimator to
estimate the finite population variance S y 2. Expressions for bias and mean squared error of …

It is a general practice to use robust estimates to improve ratio estimators using functions of
the parameters of an auxiliary variable. In this study, a new class of robust estimators based …

This article suggests an improved class of efficient estimators that use various
transformations to estimate the finite population variance of the study variable. These …

Until now, various types of estimators have been used for estimating the population variance
in simple random sampling studies, including ratio, product, regression and exponential …

This article presents a new set of estimators designed to estimate the finite population
variance of a study variable in two-phase sampling. These estimators utilize the information …

In the stratified random sampling, the variance estimators are popularly proposed by using
the ratio, product, regression, and exponential type estimators. Up to now, an alternative to …