Two-Dimensional Discrete Random Variables with Conditional Distribution

M. Egalite Francis; M. Devanathan

doi:https://doi.org/10.14445/22315373/IJMTT-V66I6P517

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 66 | Issue 6 | Year 2020 | Article Id. IJMTT-V66I6P517 | DOI : https://doi.org/10.14445/22315373/IJMTT-V66I6P517

Two-Dimensional Discrete Random Variables with Conditional Distribution

M. Egalite Francis, M. Devanathan

Abstract

Conditional probability is the probability of one thing being true given that another thing is true, and is the key concept in Bayes' theorem. It reflects in the random variables, but two-dimensional random variables Conditional Distribution have some limitations. To extend the content of conditional distribution this paper gives the extension of conditional distribution under discrete random variables, and some examples. So, it can get conditional distributions that are extended into n-dimensional random variables, thereby enriching the contents of the conditional distribution.

Keywords

Random Variables, Bayes' theorem , Discrete Random Variables, Two-dimensional Random Variables, Conditional Distribution

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Citation :

M. Egalite Francis, M. Devanathan, "Two-Dimensional Discrete Random Variables with Conditional Distribution," International Journal of Mathematics Trends and Technology (IJMTT), vol. 66, no. 6, pp. 184-189, 2020. Crossref, https://doi.org/10.14445/22315373/IJMTT-V66I6P517