Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
414979 | Computational Statistics & Data Analysis | 2014 | 14 Pages |
Abstract
In this paper, some properties of gamma-XX family are discussed and a member of the family, the gamma-normal distribution, is studied in detail. The limiting behaviors, moments, mean deviations, dispersion, and Shannon entropy for the gamma-normal distribution are provided. Bounds for the non-central moments are obtained. The method of maximum likelihood estimation is proposed for estimating the parameters of the gamma-normal distribution. Two real data sets are used to illustrate the applications of the gamma-normal distribution.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Ayman Alzaatreh, Felix Famoye, Carl Lee,