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Probabilistic models for medical insurance claims
Author(s) -
Tessera Abebe
Publication year - 2007
Publication title -
applied stochastic models in business and industry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.413
H-Index - 40
eISSN - 1526-4025
pISSN - 1524-1904
DOI - 10.1002/asmb.673
Subject(s) - probabilistic logic , actuarial science , construct (python library) , medical insurance , health insurance , statistical model , econometrics , insurance policy , economics , mathematics , computer science , statistics , health care , programming language , economic growth
The paper develops two probabilistic models for claim size in health insurance based on the claims of families and individuals covered by the policy. First, general models for the numbers of families and persons covered by a medical insurance are developed. These are then used to construct models for claim size. Applications of these general models are then analysed and discussed. Copyright © 2007 John Wiley & Sons, Ltd.