The aim of Actuarial Statistics (CS1) is to provide a grounding in mathematical and statistical methods that are of relevance for actuarial work. It equips the student with knowledge of statistical distributions, methods to summarise data, the principles of statistical inference, regression models (including generalised linear models) and the fundamental concepts of Bayesian statistics. The subject includes both theory and application of the ideas using R.
Chapters :
| 1. Probability distributions (2hrs 50mins) | View Here | USD$ | |
| 2. Moment Generating Functions (1hr 47mins) | View Here | USD$ | |
| 3. Joint distributions (1hr 50mins) | View Here | USD$ | |
| 4. Conditional expectation (1hr 41mins) | View Here | USD$ | |
| 5. Central Limit Theorem (1hr 46mins) | View Here | USD$ | |
| 6. Sampling and statistical inference | Coming soon | USD$ | |
| 7. Point estimation | Coming soon | USD$ | |
| 8. Confidence intervals | Coming soon | USD$ | |
| 9. Hypothesis testing | Coming soon | USD$ | |
| 10. Correlation | Coming soon | USD$ | |
| 11. Linear regression | Coming soon | USD$ | |
| 12. Generalised linear models | Coming soon | USD$ | |
| 13. Bayesian statistics | Coming soon | USD$ | |
| 14. Credibility theory | Coming soon | USD$ | |
| 15. Empirical Bayes credibility theory | Coming soon | USD$ |
Check out our: ACTUARIAL SCIENCE CORNER
Check out the article: What is Actuarial Science
Check out the videos: Actuarial Exams @ APU Technology Park
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