Risk Models Defined With Multivariate Mixtures of Exponential Distributions
Author | : Hélène Cossette |
Publisher | : |
Total Pages | : 30 |
Release | : 2019 |
ISBN-10 | : OCLC:1304289037 |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
Download or read book Risk Models Defined With Multivariate Mixtures of Exponential Distributions written by Hélène Cossette and published by . This book was released on 2019 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mixed exponential distributions are frequently used in actuarial risk modeling. Distributions obtained through mixtures allow greater flexibility in the modeling of non-life insurance loss amounts . Several research works have studied mixed exponential distributions in univariate and multivariate settings. The present paper highlights the usefulness of such distributions and lays the story of the mixing technique behind them. It also explains the underlying link between all these works. In addition, a comprehensive study of three special cases of mixing distributions is considered. Applications in actuarial science of these distributions are presented throughout the paper highlighting their many uses and useful properties.