Cited by 112Probability and Risk ModelsStatistical Distribution Estimation and ApplicationsInsurance and Financial Risk Management

Modelling the claims process in the presence of covariates

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Renshaw, Arthur E.·1994·ASTIN Bulletin

Abstract

An overview of the potential of Generalized Linear Models as a means of modelling the salient features of the claims process in the presence of rating factors is presented. Specific attention is focused on the rich variety of modelling distributions which can be implemented in this context.

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References 17 · Cited by 112

Research works printed but not linked: 5

  1. ANDRADE K SIEVA, J. M. (1989) An application of Generalized Linear Models to Portuguese Motor Insurance. Proceedings XXI ASTIN Colloquium, New York, 633.
  2. CF.NTF.NO, L. and ANDRADE E SILVA, J.M. (1991) Generalized Linear Models under Constraints. Proceedings XXIII ASTIN Colloquium, Stockholm.
  3. HABERMAN, S. and RKNSHAW, A.E. (1989) Fitting Loss Distributions using Generalized Linear Models. Proceedings XXI ASTIN Colloquium, New York, 149.
  4. HOGG, R.V. and KLUGMAN, S.A. (1984) Loss Distributions. John Wiley & Sons.
  5. RENSHAW, A.E. (1990) Graduation by Generalized Linear Modelling Techniques. Proceedings XXII ASTIN Colloquium, Montreux.

Authors
Renshaw, A. E.
Affiliations
City, University of London (GB)
Corresponding author
Renshaw, Arthur E.
Venue
ASTIN Bulletin
Published
1994-11
Volume
24
Issue
2
Pages
265-285
ISSN
  • 0515-0361 (ISSN-L)
  • 1783-1350
OpenAlex
W2157497458
Cited by
112
References
17
Citations by year
2026: 3 · 2025: 4 · 2024: 4 · 2023: 6 · 2022: 3 · 2021: 4 · 2020: 5 · 2019: 4 · 2018: 5 · 2017: 5 · 2016: 7 · 2015: 4 · 2014: 3 · 2013: 5 · 2012: 3
FWCI
2.07
Type
journal article
Language
en
Open access
Locations
  • Astin Bulletin (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Probability and Risk Models
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Insurance and Financial Risk Management
Keywords
rating factors, generalized linear models, covariates

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