Large-Loss Predictive Model
نویسندگان
چکیده
The goal of this report is to provide a model accurately predicting whether a worker’s compensation policy will suffer a large loss. Several models were created using statistical analysis and the final logistic regression model predicting client policies at risk for large losses is provided. This model is a two-factor logistic regression model accurately predicted the large loss outputs of 87.5% of all policies and 70.1% of those policies suffering large losses. All data was supplied by the Actuarial Department of Accident Fund Insurance Company. Work done in partial fulfillment of the requirements of Michigan State University MTH 844; advised by Mr. Jack Tower, Accident Fund Insurance Company, Dr. Gerald Ludden and Dr. Peiru Wu, Michigan State University.
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