SC502 Probability Theory
Course outline
- Introduction to Probability Theory 
- Classical definition 
- Axiomatic definition 
- Conditional probability 
- Random Variables - Distribution function, 
- Probability mass and density function 
- Expectation, properties of expectation. 
 
- Some probability distributions - Binomial, Poisson (Discrete) 
- Uniform, Normal, Exponential ( Continuous) 
 
- Transformation of random variables 
- Joint distribution of random variables - Bi-variate Normal distribution 
- Multivariate normal distribution 
 
- Central Limit Theorem 
- Chebyshev’s Inequality 
- Weak law of large numbers. 
Books
- A first course in Probability By Chandra & Chatterje 
(2) An Introduction to Probability & Statistics By Rohatgi & Saleh
(3) Introduction to Probability By Hoel, Port, Stone
(4) A first course in probability By Ross
(5) Linear Statistical Inference & Its Application By C. R. Rao
 
