SOA Exam ASTAM Sample Question 13
Study guide: Exam ASTAM
An insurance company offers telematics insurance to its automobile insurance policyholders. For a portfolio with n new policies, a total of M claims is recorded in the first t_0 months of cover. You may assume that each policy gives rise to a maximum of one claim and that claims arise independently of the others.
Assume that for each policy, the time (measured in months) until a claim occurs is modeled as a random variable T, with
\Pr\left[T \le t\right] = F(t) = 1 - e^{-\beta t} \qquad t > 0, \quad \beta > 0
Part a
Write down the likelihood of observing M claims in t_0 months.
Part b
Determine the maximum likelihood estimate of \beta in terms of M, t_0, and n.
Part c
Explain, but do not perform the calculations, how you could construct an approximate confidence interval for \beta.
Part d
Explain carefully how you can use your estimated value of \beta to estimate the average time until a claim occurs, denoted \mu.
Part e
Explain carefully how you can estimate the variance of your estimate for \mu.
Answer this question and see the worked solution
Concepts tested
- Maximum Likelihood Estimation
- Exponential Distribution
- Fisher Information
- Approximate Confidence Interval
- Delta Method