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Applying imputation and statistical learning to predict gamma-glutamyl transferase in underwriting data
Insurance underwriting can be time-consuming and costly for both insurers and customers. However, the insight gained is of critical importance in addressing the information asymmetry between insurers and customers in terms of establishing a customer's risk profile. Consequently, any test that assist...
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| Format: | Thesis |
| Language: | Eng |
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Department of Statistical Sciences
2024
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