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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Main Authors: Noriszura Ismail, Abdul Aziz Jemain
Format: Article
Language:English
Published: Universiti Kebangsaan Malaysia 2008
Online Access:http://journalarticle.ukm.my/80/1/1.pdf
http://journalarticle.ukm.my/80/
http://www.ukm.my/jsm/
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Institution: Universiti Kebangsaan Malaysia
Language: English
id my-ukm.journal.80
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spelling my-ukm.journal.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/
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
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/80/1/1.pdf
http://journalarticle.ukm.my/80/
http://www.ukm.my/jsm/
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