UNIVARIATE AND BIVARIATE GAMMA-TYPE DISTRIBUTIONS

In this book we define univariate and bivariate gamma-type distributions and discuss some of their statistical functions, including the moment generating function. Numerous distributions such as the Rayleigh, half-normal and Maxwell distributions can be obtained as special cases. The moment generating function of both univariate and bivariate random variables are derived by making use of the inverse Mellin transform technique and expressed in terms of generalized hypergeometric functions. These representations provide computable expressions for the moment generating functions of several of the distributions that were identified as particular cases. Some other statistical functions are also given in closed form. The univariate distribution is utilized to model two data sets. This model provides a better fit than the two-parameter Weibull model or its shifted counterpart, as measured by the Anderson-Darling and Cramer-von Mises statistics.

Autorentext

Abdus Saboor, PhD in Mathematics, is currently working as Asst. Prof. at City University of Science and IT, Pakistan. He received indigenous and foreign scholarships for PhD studies. He completed his PhD under the supervision of Dr.Munir Ahmad, Rector at NCBA&E, Pakistan and Dr.Serge B.Provost, Professor at the University of Western Ontario, Canada