
| STAT3017 MATHEMATICAL STATISTICS III (72 POINTS) STAT3003 REGRESSION AND TIME SERIES III (12 POINTS) STAT3004 STOCHASTIC PROCESSES III (12 POINTS) STAT3005 APPLIED STATISTICS III (12 POINTS) STAT3007 INFERENCE III (12 POINTS) STAT3008 ACTUARIAL SCIENCE III (72 POINTS) STAT3009 COMPUTER STUDIES FOR ACTUARIES III (12 POINTS) STAT3010 LIFE CONTINGENCIES III (24 POINTS) STAT3013 RISK THEORY IIIA (12 POINTS) Course outline 1. Loss distributions (Lognormal, Weibul, Gamma, Pareto, Negative Exponential and the like) and MLE?s (Maximum Likehood estimates ? both one or two parameters) 2. Risk Models: A random sum of a random variable. Theory is presented (includes recursive formula and the translated Gamma Distribution). Also look at the case of having a Re insurer. 3. Experience rating: NCD?s (No Claim Discount Systems) 4. Claims Reserving: Chain Ladder Method, Average Cost per Claim Method and BF (Bornhuetter Ferguson) Method ? with and without claims inflation 5. Bayesian Statistics: Bayes theorem, Loss estimators (quadratic, absolute error, all-or-nothing), and prior, likehood and posterior distribution 6. Ruin Theory: Poisson process, Lundberg inequality, adjustment coefficient, Reinsurance (Proportional and non-proportional) 7. Credibility Theory: Basic concept and models (Gamma/Poisson, Normal-Normal), Two Empirical Models (both theory and numerical) 8. Decision Theory: Very basic introduction. Introduction to Statistical games, a decision function, a loss function and decision criteria (Minimax, Bayes criteria) 9. Generalised Linear Models: A basic knowledge is required in Risk Theory. 10. Comprehensive tutorial pack: Covers Institute/Faculty of Actuaries exams over the last 3 ? 4 years as well as Wits exams over the same period 11. A risk rating exercise is also given, where students can use Excel or Access to determine what the premium rates will be for a block of motor-vehicle claims, given a policy record dataset as well as a claims data set. Different risk factors are given, like age, gender, yes/no to having an immobiliser, etc. STAT3014 RISK THEORY IIIB (12 POINTS) Course outline 1. Loss distributions (Lognormal, Weibul, Gamma, Pareto, Negative Exponential and the like) and MLE?s (Maximum Likehood estimates ? both one or two parameters) 2. Risk Models: A random sum of a random variable. Theory is presented (includes recursive formula and the translated Gamma Distribution). Also look at the case of having a Re insurer. 3. Experience rating: NCD?s (No Claim Discount Systems) 4. Claims Reserving: Chain Ladder Method, Average Cost per Claim Method and BF (Bornhuetter Ferguson) Method ? with and without claims inflation 5. Bayesian Statistics: Bayes theorem, Loss estimators (quadratic, absolute error, all-or-nothing), and prior, likehood and posterior distribution 6. Ruin Theory: Poisson process, Lundberg inequality, adjustment coefficient, Reinsurance (Proportional and non-proportional) 7. Credibility Theory: Basic concept and models (Gamma/Poisson, Normal-Normal), Two Empirical Models (both theory and numerical) 8. Decision Theory: Very basic introduction. Introduction to Statistical games, a decision function, a loss function and decision criteria (Minimax, Bayes criteria) 9. Generalised Linear Models: A basic knowledge is required in Risk Theory. 10. Comprehensive tutorial pack: Covers Institute/Faculty of Actuaries exams over the last 3 ? 4 years as well as Wits exams over the same period 11. A risk rating exercise is also given, where students can use Excel or Access to determine what the premium rates will be for a block of motor-vehicle claims, given a policy record dataset as well as a claims data set. Different risk factors are given, like age, gender, yes/no to having an immobiliser, etc.
STAT3016 SURVIVAL MODELS (12 POINTS) |