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Time-to-event analysis is important in a wide range of applications from clinical prognosis to risk modeling for credit scoring and insurance. In risk modeling, it is sometimes required to make a simultaneous assessment of the hazard arising from two or more mutually exclusive factors. This paper applies to an existing neural network model for competing risks (PLANNCR), a Bayesian regularization with...
Based on published financial data from property-liability insurance companies, the factor analysis was adopted in this paper to screen important variables to establish credit rating perspectives. In addition, the concept of normal distribution was used to establish objective and scientific credit rating model that match the conditions of property-liability insurance companies in Taiwan. Through proper...
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