Abu Bakar, Shaiful Anuar and Nadarajah, S. (2021) Composite models with underlying folded distributions. Journal of Computational and Applied Mathematics, 390. ISSN 0377-0427, DOI https://doi.org/10.1016/j.cam.2020.113351.
Full text not available from this repository.Abstract
In this note, we examine the performance of 25 new composite models that are derived from 5 underlying folded distributions for modeling insurance loss data. These models are assessed using standard selection criteria involving the Akaike Information Criteria and the Bayesian Information Criteria as well as proximity to empirical risk estimates. Three models are found significant in improving the goodness-of-fit than the latest development in the literature with two models reliable for risk estimation. (C) 2020 Elsevier B.V. All rights reserved.
| Item Type: | Article |
|---|---|
| Funders: | Ministry of Higher Education, Malaysia under Fundamental Research Grant Scheme (FRGS) [FP040-2017A] |
| Uncontrolled Keywords: | Danish fire loss data; Information criteria; Risk estimation |
| Subjects: | Q Science > QA Mathematics |
| Divisions: | Faculty of Science |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 13 Apr 2022 03:43 |
| Last Modified: | 13 Apr 2022 03:43 |
| URI: | http://eprints.um.edu.my/id/eprint/26924 |
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