STATISTICAL MODELING OF MULTIVARIATE RELIABILITY FUNCTION USING COPULA METHOD IN THE PRESENCE OF CENSORING

Abstract

Numerous scientific and practical researches conducted around the world are
mostly focused use on the methods of statistical modeling. Statistical models play an important
role in various fields. Examples include mathematical models in the physics, astronomy,
biology, medicine, economics, demography, sociology, psychology, marketing, political science,
engineering sciences, machine learning, computer science, natural sciences and other related
fields. In this article, we investigate the problem of statistical modeling of multivariate reliability
functions. In this case, an algorithm for constructing a statistical model is developed and the
copula method is used in the presence of censoring.