Construction of an insurance scoring system using regression models

Noriszura Ismail, Abdul Aziz Jemain

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)412-419
Number of pages8
JournalSains Malaysiana
Volume37
Issue number4
Publication statusPublished - Dec 2008

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Scoring
Insurance
Regression Model
Profitability
Differentiate
Estimate

Keywords

  • Profitability
  • Regression models
  • Scoring System

ASJC Scopus subject areas

  • General

Cite this

Construction of an insurance scoring system using regression models. / Ismail, Noriszura; Jemain, Abdul Aziz.

In: Sains Malaysiana, Vol. 37, No. 4, 12.2008, p. 412-419.

Research output: Contribution to journalArticle

Ismail, Noriszura ; Jemain, Abdul Aziz. / Construction of an insurance scoring system using regression models. In: Sains Malaysiana. 2008 ; Vol. 37, No. 4. pp. 412-419.
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