Instructor: Rakesh Gupta
Valid Till: 2019-04-12
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.
Exam format: 3 hours and 15 minutes paper-based exam, plus 1 hour and 45 minutes computer-based exam on 'R'
|1.Random Variable and Distributions|
|1.Random Variable - Discrete|
|2.Random Variable- Continuous|
|3. Discrete Distributions|
|4. Continuous Distribution - Part2_new|
|Assignment ch 2,3 & 4|
|2.Generating Function - P1|
|2.Generating Function- P2|
|3.Joint Distribution - Part1|
|3.Joint Distribution - Part 2|
|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 Interval- P1|
|8.Confidence Interval- P3|
|9.Hypothesis testing - P1|
|9.Hypothesis testing -P2|
|12.Generalised Linear Models|
|1. How to download R and R studio|
|3.how to define variable in R|
|2. How to start using R Studio|
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