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Introduction to Probability, Statistics, and Random Processes

Introduction to Probability, Statistics, and Random Processes cover

Introduction to Probability, Statistics, and Random Processes

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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.

The book covers:

  • 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. The digital version of the book, as well as additional materials such as videos, is available at

ISBN: 9780990637202

ISBN-10: 9780990637202

Publisher: Kappa Research, LLC

Publication Date: 08/24/2014 - 12:00am

On Sale: 08/24/2014 - 12:00am

Pages: 746

Language: English


Probability & Statistics - General