Statistical estimation for multivariate distributions encompasses a broad array of techniques designed to infer the joint behaviour of multiple variables. Parametric approaches such as maximum ...

Abstract: Statistical estimation in many contemporary settings involves the acquisition, analysis, and aggregation of data sets from multiple sources, which can have significant differences in ...

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Bernstein polynomial estimators employ weighted sums of Beta basis functions to approximate unknown probability density functions on compact intervals. By representing the target density as a convex ...

ABSTRACT: The aim of this paper is to present a generalization of the Shapiro-Wilk W-test or Shapiro-Francia W'-test for application to two or more variables. It consists of calculating all the ...

Abstract: Estimating available network resources is fundamental when adapting the sending rate both at the application and transport layer. Traditional approaches either rely on active probing ...

In today’s data-driven world, the ability to make accurate predictions and informed decisions is essential for businesses. From forecasting demand to detecting fraud, data science and statistics play ...