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Copula Probability Model for Determining Dependency and Generations
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Journal Article
Copula Probability Model for Determining Dependency and Generations
2023
Overview
The statistical idea of a copula was developed in 1959 under the base of sklar's theorem; it was not applied to financial markets and finance until the late 1990s. In this study, copula was used as a probability model that represents a multivariate uniform distribution (MUD), first to examines the association or dependence between many variables as a vector of random variables (Vn) having different probability densities, that helps to isolate the joint or marginal probabilities of a pair of variables that are enmeshed in a more complex multivariate system, secondly it was used for generating the probability values of dependencies for a vector of random variables together in MVCDF rather than their partial dependencies from their marginals.
Publisher
جامعة كركوك - كلية الإدارة والاقتصاد
