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Curricular information is subject to change
An ability to understand how premium rates, claim rates, reserves, reinsurance arrangements and other parameters in a surplus process contribute to the probability of ruin. To understand how to use practical methods incorporating both sample and collateral information in estimating premium and claim rates. To obtain a basic understanding of how the techniques of generalized linear models may be used in modelling insurance claim rates and amounts. Simulation methods.
Indicative Module Content:premium rates, claim rates, reserves, reinsurance arrangements, probability of ruin. generalized linear models. Simulation methods.
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Tutorial | 10 |
Computer Aided Lab | 0 |
Autonomous Student Learning | 86 |
Total | 120 |
Must have taken Actuarial Statistics I.
Learning Recommendations:Students should have a knowledge of statistical inference at a level equivalent to that which would be achieved upon completion of STAT20100, STAT20110, STAT30240.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Continuous Assessment: Problem sets | Throughout the Trimester | n/a | Other | No | 20 |
Examination: Final exam | 2 hour End of Trimester Exam | No | Other | No | 80 |
Resit In | Terminal Exam |
---|---|
Summer | Yes - 2 Hour |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Homeworks individually marked and returned to students. Group feedback also given in tutorials.