Luo, Ming, Wu, Shaomin (2016) An overview of approaches to insurance data analysis and suggestions for warranty data analysis. Recent Patents on Engineering, 10 (3). pp. 138-145. ISSN 1872-2121. E-ISSN 2212-4047. (doi:10.2174/1872212110666160617092705) (KAR id:56009)
PDF
Author's Accepted Manuscript
Language: English |
|
Download this file (PDF/554kB) |
Preview |
Request a format suitable for use with assistive technology e.g. a screenreader | |
Official URL: http://dx.doi.org/10.2174/187221211066616061709270... |
Abstract
Warranty shares similarities with insurance in many aspects. Research on insurance data analysis has attracted much more attention than on warranty data analysis. This paper provides a general comparison between warranty and insurance in terms of their coverages, policies and data collection. It then reviews existing approaches to insurance data analysis with regard to modelling of claim frequency, modelling of claim size and policy pricing. Some recent patents relating statistical models are also discussed. The paper concludes with suggestions for improving warranty data analysis.
Item Type: | Article |
---|---|
DOI/Identification number: | 10.2174/1872212110666160617092705 |
Projects: | Smart data analytics for business and local government |
Uncontrolled keywords: | insurance claim; warranty claim; statistical modelling. |
Subjects: | H Social Sciences > HA Statistics > HA33 Management Science |
Divisions: | Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems |
Funders: | [37325] UNSPECIFIED |
Depositing User: | Shaomin Wu |
Date Deposited: | 21 Jun 2016 18:46 UTC |
Last Modified: | 04 Mar 2024 16:53 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/56009 (The current URI for this page, for reference purposes) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):