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 (1hr 46mins) | View Here | USD$ | |
| 7. Point estimation (3hrs 33mins) | View Here | USD$ | |
| 8. Confidence intervals (1hr 39mins) | View Here | USD$ | |
| 9. Hypothesis testing (3hrs 49mins) | View Here | USD$ | |
| 10. Linear regression (1hr 54mins) | View Here | USD$ | |
| 11. Generalised linear models (3hr 54mins) | View Here | USD$ | |
| 12. Bayesian statistics (1hr 49mins) | View Here | USD$ | |
| 13. Empirical Bayes credibility theory (1hr 53mins) | View Here | USD$ |
Total video time: 30hrs 11mins
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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