Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
11593036 | Journal of Computational and Applied Mathematics | 2019 | 17 Pages |
Abstract
In this work, we have defined a new family of skew distribution: the Skew-Reflected-Gompertz. We have also derived some of its probabilistic and inferential properties. The maximum likelihood estimates of the proposed distribution parameters are obtained via an EM-algorithm, and performances of the proposed model and its estimates are shown via simulation studies as well as real applications. Three real datasets are also used to illustrate the model performance which can compete against some well-known skew distributions frequently used in applications.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Akram Hoseinzadeh, Mohsen Maleki, Zahra Khodadadi, Javier E. Contreras-Reyes,