Course

Inverted Beta Distribution, Noncentral Beta Distribution, Beta Binomial Distribution, Cauchy Distribution, Noncentral Chi-Squared Distribution, Dirichlet Distribution, Empirical Distribution Function, Erlang Distribution, Error Distribution, Generalized Exponential Distributions, Noncentral F-distribution, Inverted Gamma Distribution, Normal Gamma Distribution, Generalized Gamma Distribution, Inverse Gaussian (Wald) Distribution, Lognormal Distribution, Pareto Distribution, Power Function Distribution, Power Series (Discrete) Distribution, Wishart (Central) Distribution.

Course Outcomes:

CO1:  To understand the basics of different beta distributions.

CO2:  To understand the distribution like Empirical and Erlang.

CO3: Know the importance of inverse Gama distribution and generalized exponential distribution.

CO4: To understand the inverse Gaussian distribution and Lognormal distribution.

CO-PO Mapping:

Text Books /Reference Books

1. Catherine Forbes, Merran Evens, Nicholas Hastings and Brian Peacock. (2010). Statistical

Distributions, Fourth Edition, Wiley & Sons Publication, USA.

2. Karl Bury (1999) : Statistical distributions in Engineering , Cambridge University Press.

     3. Thomopoulos, Nick T (2017): Statistical Distributions: Applications and Parameter Estimates, Springer.