The moment generating function of a bivariate gamma-type distribution

被引:9
|
作者
Saboor, Abdus [1 ]
Provost, Serge B. [2 ]
Ahmad, Munir [3 ]
机构
[1] Kohat Univ Sci & Technol, Dept Math, Kohat 26000, Pakistan
[2] Univ Western Ontario, Dept Stat & Actuarial Sci, London, ON N6A 5B7, Canada
[3] Natl Coll Business Adm & Econ, Lahore 54660, Pakistan
基金
加拿大自然科学与工程研究理事会;
关键词
Bivariate distributions; Generalized gamma distributions; Inverse Mellin transform; Moment generating function; Moments; CONFLUENT HYPERGEOMETRIC FUNCTION; 2; VARIABLES;
D O I
10.1016/j.amc.2012.05.057
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A bivariate gamma-type density function involving a confluent hypergeometric function of two variables is being introduced. The inverse Mellin transform technique is employed in conjunction with the transformation of variable technique to obtain its moment generating function, which is expressed in terms of generalized hypergeometric functions. Its cumulative distribution function is given in closed form as well. Many distributions such as the bivariate Weibull, Rayleigh, half-normal and Maxwell distributions can be obtained as limiting cases of the proposed gamma-type density function. Computable representations of the moment generating functions of these distributions are also provided. (C) 2012 Elsevier Inc. All rights reserved.
引用
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页码:11911 / 11921
页数:11
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