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