Estimation of the Parameters of Mixed Frechet Distribution and Its Employment in Simple Linear Regression
Main Article Content
Abstract
Probability distribution is important to those who are interested in the subject of mathematical statistics, so in this research a probability function of the mixed distribution Frechet-Frechet was formed and its parameters were estimated using maximum likelihood and moment methods. These methods are applied on real data which represents the number of cancer cases in Iraq for the years (1991-2016).
Downloads
Metrics
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.