Loss Models: Estimation and Selection ACMA 445 (3)
Quality of an estimator: unbiasedness, asymptotic unbiasedness, consistency, means squared error, uniform minimum variance. Confidence interval. Tests of hypotheses. Estimation for complete data. Estimation for grouped data. Estimation for modified data: Kaplan-Meier estimator, variances and confidence intervals of the empirical estimator, kernel density estimator. Parameter estimation. Variance of the estimators and confidence intervals. Model selection: graphical procedures, goodness-of-fit test, likelihood ratio test. Interpolation and smoothing. Covers part of the syllabus for Exam C of the Society of Actuaries and Exam 4 of the Casualty Actuarial Society. Prerequisite: ACMA 320. Quantitative.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Yi Lu |
Jan 5 – Apr 11, 2016: Tue, 11:30 a.m.–1:20 p.m.
Jan 5 – Apr 11, 2016: Thu, 11:30 a.m.–12:20 p.m. |
Burnaby Burnaby |
|
| D101 |
Yi Lu |
Jan 5 – Apr 11, 2016: Wed, 3:30–4:20 p.m.
|
Burnaby |