CS1

CS1

Instructor: Rakesh Gupta

Language: English

Valid Till: 2019-09-20

₹22420 6% OFF

₹21000

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Course Contents
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Actuarial Statistics (CS1)

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'

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INTRODUCTION
	Chapter- 0 (assignment)
	Chapter -0 ( Part 1 )	Preview
	Chapter -0 (Part 2)
1.Random Variable and Distributions
	1.Assignment-Random Variable
	1.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
	tenyear-ch2-3-4
	2.Generating Function - P1
	2.Generating Function- P2
3.Joint Distributions
	3.Joint Distribution - Part1
	3.Joint Distribution - Part 2
4.Conditional Expectations
	4.Conditional Expectation
5.The Central Limit Theorem
	CS1_Ch5,6&7.pdf
	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
R classes
	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.Probability Distribution
	6.Function and Matrix
	7.Loops in R
	8.How to Import a file in R
	9.Data Frames
	10.Graphical plot
	11. Central Limit Theorem
	12.Sampling
	13. Confidence Interval
	15.Data Analysis
	16.Linear Regression
	17.Multiple Regression
	18.GLM
	19.Bayesian Estimation
	20.Hypothesis
	21.Bootstrap
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

CS1

₹21000

Actuarial Statistics (CS1)

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