Construction of insurance scoring system using regression models

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This study suggests the regression models of Lognormal, Normal and Gamma for constructing insurance scoring system. The main advantage of a scoring system is that it can be used by insurers to differentiate between high and low risks insureds, thus allowing the profitability of insureds to be predicted.

Original languageEnglish
Pages (from-to)607-615
Number of pages9
JournalJournal of Modern Applied Statistical Methods
Volume7
Issue number2
Publication statusPublished - Nov 2008

Fingerprint

Scoring
Insurance
Regression Model
Profitability
Differentiate
Regression model
Insurer

Keywords

  • Insurance risks
  • Regression model
  • Scoring system

ASJC Scopus subject areas

  • Statistics, Probability and Uncertainty
  • Statistics and Probability

Cite this

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

In: Journal of Modern Applied Statistical Methods, Vol. 7, No. 2, 11.2008, p. 607-615.

Research output: Contribution to journalArticle

@article{3728830b818343428d4875a7ba1359cf,
title = "Construction of insurance scoring system using regression models",
abstract = "This study suggests the regression models of Lognormal, Normal and Gamma for constructing insurance scoring system. The main advantage of a scoring system is that it can be used by insurers to differentiate between high and low risks insureds, thus allowing the profitability of insureds to be predicted.",
keywords = "Insurance risks, Regression model, Scoring system",
author = "Noriszura Ismail and Jemain, {Abdul Aziz}",
year = "2008",
month = "11",
language = "English",
volume = "7",
pages = "607--615",
journal = "Journal of Modern Applied Statistical Methods",
issn = "1538-9472",
publisher = "Wayne State University",
number = "2",

}

TY - JOUR

T1 - Construction of insurance scoring system using regression models

AU - Ismail, Noriszura

AU - Jemain, Abdul Aziz

PY - 2008/11

Y1 - 2008/11

N2 - This study suggests the regression models of Lognormal, Normal and Gamma for constructing insurance scoring system. The main advantage of a scoring system is that it can be used by insurers to differentiate between high and low risks insureds, thus allowing the profitability of insureds to be predicted.

AB - This study suggests the regression models of Lognormal, Normal and Gamma for constructing insurance scoring system. The main advantage of a scoring system is that it can be used by insurers to differentiate between high and low risks insureds, thus allowing the profitability of insureds to be predicted.

KW - Insurance risks

KW - Regression model

KW - Scoring system

UR - http://www.scopus.com/inward/record.url?scp=82055189671&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=82055189671&partnerID=8YFLogxK

M3 - Article

VL - 7

SP - 607

EP - 615

JO - Journal of Modern Applied Statistical Methods

JF - Journal of Modern Applied Statistical Methods

SN - 1538-9472

IS - 2

ER -