In this paper, two modified, design-based calibration ratio-type estimators are presented. The suggested estimators were developed under stratified random sampling using information on an auxiliary variable in the form of robust statistical measures, including Gini’s mean difference,...

"To sustain competitiveness in today's highly local and global markets, an organization needs to excel in all its key dimensions. The world is facing a new industrial era marked by digitalization in various multidimensional sectors; experts call it Industry 4.0. Humans are slowly but steadily...

This paper proposes an improved estimation method for the population coefficient of variation, which uses information on a single auxiliary variable. The authors derived the expressions for the mean squared error of the proposed estimators up to the first order of approximation. It was...