Under classical statistics, research typically relies on precise data to estimate the population
mean when auxiliary information is available. Outliers can pose a significant challenge in …

In sample surveys, the problem of outliers is one of the most frequent and widest, whose
solution is required to be obtained using statistical techniques. To overcome this problem …

Auxiliary information is frequently used to improve the accuracy of the estimators when
estimating the unknown population parameters. In this paper, we propose a new difference …

In this study, we propose an improved unbiased estimator in estimating the finite population
mean using a single auxiliary variable and rank of the auxiliary variable by adopting the …

This paper proposes several Hartley-Ross (HR) type unbiased estimators of the finite
population mean using information on known population parameters of the auxiliary variable …

We improve two families of unbiased estimators in general form for estimating the finite
population mean in stratified random sampling. These estimators are developed from the …

In this paper, we propose a class of Hartley-Ross type unbiased esti-mators for estimating
the finite population mean of the study variableunder ranked set sampling (RSS), when …

Stratified ranked set sampling (StRSS) combines the advantages of stratification and ranked
set sampling (RSS). In this paper, we propose several unbiased ratio type estimators using …

One eminent disadvantage of many existing optimal estimators/class of estimators is that
they are typically biased. In this article, we proposed an optimum class of unbiased …

In survey sampling, most of the research work based on the fact that utilizing the information
of auxiliary variable (s) boosts the efficiency of estimators. Keeping this fact in mind we used …