Introduction to Probability, Statistics, and Random Processes

This book introduces students to probability, statistics, and stochastic processes. It can be used by both students and practitioners in engineering, various sciences, finance, and other related fields. It provides a clear and intuitive approach to these topics while maintaining mathematical accuracy.

    Basic concepts such as random experiments, probability axioms, conditional probability, and counting methods
    Single and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, characteristic functions, random vectors, and inequalities
    Limit theorems and convergence
    Introduction to Bayesian and classical statistics
    Random processes including processing of random signals, Poisson processes, discrete-time and continuous-time Markov chains, and Brownian motion
    Simulation using MATLAB and R (online chapters)

The book contains a large number of solved exercises. The dependency between different sections of this book has been kept to a minimum in order to provide maximum flexibility to instructors and to make the book easy to read for students. Examples of applications—such as engineering, finance, everyday life, etc.—are included to aid in motivating the subject.

Title Introduction to Probability, Statistics, and Random Processes
Author(s) Hossein Pishro-Nik
Publisher: Kappa Research, LLC (August 24, 2014)
Hardcover 744 pages
eBook HTML and PDF Files
Language: English
ISBN-10/ASIN: 0990637204
ISBN-13: 978-0990637202
eBook: http://www.probabilitycourse.com/