2014•IEEE Communications LettersRequires access

Cumulative Distribution Function of Bivariate Gamma Distribution With Arbitrary Parameters and Applications

Natalia Y. Ermolova, Olav Tirkkonen

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Abstract

In this letter, we consider bivariate gamma distributions with arbitrary parameters and obtain closed-form expressions for the cumulative distribution function for scenarios where the difference between the shape parameters of the marginal distributions is an integer.

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What this paper is about

In this letter, we consider bivariate gamma distributions with arbitrary parameters and obtain closed-form expressions for the cumulative distribution function for scenarios where the difference between the shape parameters of the marginal distributions is an integer.

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Available abstract

In this letter, we consider bivariate gamma distributions with arbitrary parameters and obtain closed-form expressions for the cumulative distribution function for scenarios where the difference between the shape parameters of the marginal distributions is an integer.

Key concepts: Generalized gamma distribution, Cumulative distribution function, Bivariate analysis, Gamma distribution, Inverse-gamma distribution, Marginal distribution, Mathematics, Distribution (mathematics)

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