Probability Distributions

Probability: Basic concepts , Theorems & Probability Distributions

Lagrangian expansions can be used to obtain numerous useful probability models, which have been applied to real life situations including, but not limited to: branching processes, queuing processes, stochastic processes, environmental toxicology, diffusion of information, ecology, strikes in industries, sales of new products, and production targets for optimum profits. This book presents a comprehensive, systematic treatment of the class of Lagrangian probability distributions, along with some of its families, their properties, and important applications.

This handbook, now available in paperback, brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians. The handbook is not specific to fixed research areas, but rather it has a generic flavor that can be applied by anyone working with probabilistic and stochastic analysis and modeling.

Random Variables - Probability distributions - Binomial, Geometric, Normal and Standard normal distributions

Solved Examples to help you get into the flow of solving questions related to Binomial , Normal Distribution etc

Learn everything about Normal, Binomial, Poisson, Exponential and many more Probability Distributions in this course.