Construction of insurance scoring system using regression models
This study suggests the regression models of Lognormal, Normal and Gamma for the construction of an insurance scoring system. Comparison between Lognormal, Normal and Gamma regression models were also carried out, and the comparison were centered upon three main elements; fitting procedures, param...
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Universiti Kebangsaan Malaysia
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ukm-802016-12-14T06:26:21Z http://journalarticle.ukm.my/80/ Construction of insurance scoring system using regression models Noriszura Ismail, Abdul Aziz Jemain, This study suggests the regression models of Lognormal, Normal and Gamma for the construction of an insurance scoring system. Comparison between Lognormal, Normal and Gamma regression models were also carried out, and the comparison were centered upon three main elements; fitting procedures, parameter estimates and structure of scores. The main advantage of utilizing a scoring system is that the system may be used by insurers to differentiate between good and bad insureds and thus allowing the profitability of insureds to be predicted. Universiti Kebangsaan Malaysia 2008-12 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/80/1/1.pdf Noriszura Ismail, and Abdul Aziz Jemain, (2008) Construction of insurance scoring system using regression models. Sains Malaysiana, 37 (4). pp. 413-420. ISSN 0126-6039 http://www.ukm.my/jsm/ |
repository_type |
Digital Repository |
institution_category |
Local University |
institution |
Universiti Kebangasaan Malaysia |
building |
UKM Institutional Repository |
collection |
Online Access |
language |
English |
description |
This study suggests the regression models of Lognormal, Normal and Gamma for the construction of an insurance
scoring system. Comparison between Lognormal, Normal and Gamma regression models were also carried out, and the
comparison were centered upon three main elements; fitting procedures, parameter estimates and structure of scores.
The main advantage of utilizing a scoring system is that the system may be used by insurers to differentiate between good
and bad insureds and thus allowing the profitability of insureds to be predicted. |
format |
Article |
author |
Noriszura Ismail, Abdul Aziz Jemain, |
spellingShingle |
Noriszura Ismail, Abdul Aziz Jemain, Construction of insurance scoring system using regression models |
author_facet |
Noriszura Ismail, Abdul Aziz Jemain, |
author_sort |
Noriszura Ismail, |
title |
Construction of insurance scoring system using regression models |
title_short |
Construction of insurance scoring system using regression models |
title_full |
Construction of insurance scoring system using regression models |
title_fullStr |
Construction of insurance scoring system using regression models |
title_full_unstemmed |
Construction of insurance scoring system using regression models |
title_sort |
construction of insurance scoring system using regression models |
publisher |
Universiti Kebangsaan Malaysia |
publishDate |
2008 |
url |
http://journalarticle.ukm.my/80/ http://journalarticle.ukm.my/80/ http://journalarticle.ukm.my/80/1/1.pdf |
first_indexed |
2023-09-18T19:01:11Z |
last_indexed |
2023-09-18T19:01:11Z |
_version_ |
1777403084908003328 |