In Actuarial Science and insurance, models are often used to assess risk using factors such as age, level of education, gender, environment, etc. In practice, there might be unobserved factors. When data are gathered, the accuracy of these models should be investigated. If the model is not well fitted by the data, subsequent influences could […]
Read More