| Why Actuarial science ? |
Preview |
| INTRODUCTION |
|
| | CS1 Demo Video |
Preview |
| 1.Random Variable and Distributions |
|
| | 1.Assignment-Random Variable |
|
| | Random Variable-Discrete |
|
| | 2.Random Variable- Continuous |
|
| | 3.Assignment-Discrete Distribution |
|
| | 3.Discrete Distribution |
|
| | 4. Poisson Process & Continuous Distribution |
|
| | 4.Assign-Continuous Distribution |
|
| | 4. Continuous Distribution |
|
| | 5.Simulations |
|
| 2.Generating functions |
|
| | 2.Generating Function |
|
| 3.Joint Distributions |
|
| | 3.Joint Distribution - Part1 |
|
| | 3.Joint Distribution - Part 2 |
|
| | 3.Joint Distribution - Part 3 |
|
| 4.Conditional Expectations |
|
| | 4.Conditional Expectation |
|
| 5.The Central Limit Theorem |
|
| | 5.Central Limit Theorem |
|
| 6.Random Sampling and sampling distributions |
|
| | 6. Sampling Distributions |
|
| 7.Estimation and estimators |
|
| | 7.Point Estimation - P1 |
|
| | 7. Point Estimation - P2 |
|
| 8.Confidence intervals |
|
| | 8. Confidence Interval- P1 |
|
| | 8.Confidence Interval-P2 |
|
| | 8.Confidence Interval- P3 |
|
| 9.Hypothesis Testing |
|
| | 9.Hypothesis testing - P1 |
|
| | 9.Hypothesis testing -P2 |
|
| | 9.Hypothesis testing P3 |
|
| 10.Data Analysis |
|
| | 10.Data Analysis |
|
| 11.Linear regression |
|
| | 11.Linear Regression |
|
| | 11.Multivariate Regression |
|
| 12.Generalised Linear Models |
|
| | 12.GLM - P1 |
|
| | 12.GLM-P2 |
|
| 13.Bayesian Statistics |
|
| | 13.Bayesian Estimation |
|
| 14.Credibility theory |
|
| | 14. Credibility Theory |
|
| 15.EBCT |
|
| | 15.Credibility Theory-P2 |
|
| Ten Year Question - Part1 |
|
| R classes |
|
| | Foundation course |
|
| | 1. How to download R and R studio |
|
| | 2. How to start using R Studio |
|
| | 3.how to define variable in R |
|
| | R_Material_FT |
|
| | 4. Vector |
|
| | 5.Function and Matrix |
|
| | Assignment: Basic of R |
|
| | Matrix Assignment |
|
| | 6.Loops in R |
|
| | Function Assignment |
|
| | Google Drive Link for CS1 Files |
|
| | 7.How to Import a file in R |
|
| | 8.Data Frames |
|
| | 9.Graphical plot |
|
| | R_Graph |
|
| | Chapter 1 |
|
| | 1.Probability Distribution |
|
| | 2.Prob Dist. Part 2 |
|
| | Assign_Discrete Distribution |
|
| | Solution_Discrete Dist. |
|
| | 1.Continuous Dist. R assignment |
|
| | R_cont_Assign_Sol |
|
| | Chapter 5 |
|
| | Central Limit Theorem |
|
| | Central Limit |
|
| | Chapter 6 |
|
| | Sampling |
|
| | Chapter 7 |
|
| | Bootstrap |
|
| | Chapter 8 |
|
| | Confidence Interval |
|
| | 2.Confidence |
|
| | CS1_Ch8&9 with solutions |
|
| | Chapter 9 |
|
| | Hypothesis |
|
| | Goodness of fit |
|
| | Contingency table |
|
| | Chapter 10 |
|
| | Data Analysis |
|
| | Chapter 10 |
|
| | Chapter 11 |
|
| | Linear Regression |
|
| | Multiple Regression |
|
| | 3.Regression |
|
| | Chapter 12 |
|
| | GLM |
|
| | 4.Multiple & GLM |
|
| | Chapter 11 & 12 |
|
| | Linear_Solution_R |
|
| | Chapter 13& 14 |
|
| | Bayesian Estimation |
|
| | Chapter 15 |
|
| | 22. EBCT |
|
| | 5.EBCT |
|
| | Extra |
|
| | How to submit paper in R |
|
| | CS1 B April 2019 Exam |
|
| TEST |
|
| | 1.Random Variable - Discrete & Continuous |
|
| | 1(ii).Discrete Distributions. |
|
| | 1(iii).Continuous Distributions |
|
| | 2.Generating Functions |
|
| | 3.Joint Distribution. |
|
| | 4.Conditional Expectation |
|
| | 5.Central Limit Theorem |
|
| | 6. Sampling Distributions |
|
| | 7.Point Estimation |
|
