Cumulative Distribution Function of Bivariate Gamma Distribution With Arbitrary Parameters and Applications
Autor: | Olav Tirkkonen, Natalia Y. Ermolova |
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Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: |
ta113
Half-normal distribution ta213 Generalized gamma distribution ta111 Asymptotic distribution Normal-gamma distribution Computer Science Applications Variance-gamma distribution Modeling and Simulation Statistics Gamma distribution Applied mathematics Generalized integer gamma distribution Electrical and Electronic Engineering ta512 Mathematics Inverse-gamma distribution |
Zdroj: | IEEE COMMUNICATIONS LETTERS. 19(2):167-170 |
ISSN: | 1089-7798 |
DOI: | 10.1109/LCOMM.2014.2379659 |
Popis: | 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. |
Databáze: | OpenAIRE |
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