Extropy has emerged as a pivotal measure in the quantification of uncertainty, serving as a complementary counterpart to the ...

Fuzzy statistics and random variables represent a progressive fusion of traditional probability theory with the principles of ...

This note suggests that expressing a distribution function as a mixture of suitably chosen distribution functions leads to ...

In this paper, we extend Stein’s method to products of independent beta, gamma, generalised gamma and mean zero normal random ...

A continuous random variable is a type of variable that can take on any value within a given range. Unlike discrete random ...

Forecasting for any small business involves guesswork. You know your business and its past performance, but you may not be ...

Department of Biostatistics & Bioinformatics, Rollins School of Public Health, Winship Cancer Institute, Atlanta, USA. Department ...

ABSTRACT: We consider the problem of estimating an unknown density and its derivatives in a regression setting with random design.