The growing significance of Artificial Intelligence (AI) across different fields highlights the
essential role of user acceptance, as the success of this technology largely depends on its …

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

Abstract Information security compliance means that library staff follows the rules,
guidelines, and principles related to information security and implements the security …

In this article, we propose an improved estimator for finite population variance based on
stratified sampling by using the auxiliary variable as well as the rank of the auxiliary variable …

Calibration methods enhance estimates by modifying the initial design weights, for which
supplementary information is exploited. This paper first proposes a generalized class of …

Estimating the population mean is of prime concern in many studies, and calibrations are
popular choices. A robust calibration estimator estimates the mean using the minimum …

In this paper, we proposed an improved family of estimators for finite population mean under
stratified random sampling, which needed a hel** variable on the sample mean and rank …

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 …

The aim of this paper is to develop more effective methods for estimating population means
in sample surveys using auxiliary attributes. To achieve this goal, we introduce a modified …