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“Simulation and the Monte Carlo Method 3rd Edition by Reuven Y. Rubinstein, ISBN-13: 978-1118632161” has been added to your cart. View cart
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Introduction to Probability
Statistics for Engineers and Scientists 5th Edition by William Navidi
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Introduction to Probability
Statistics for Engineers and Scientists 5th Edition by William Navidi
Home Mathematics Introduction to Probability, Statistics, and Random Processes by Hossein Pishro-Nik, ISBN-13: 978-0990637202
Introduction to Statistics and Data Analysis by Christian Heumann
Introduction to Statistics and Data Analysis by Christian Heumann, ISBN-13: 978-3319461601 $50.00 Original price was: $50.00.$14.99Current price is: $14.99.
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Introduction to Probability by David F. Anderson
Introduction to Probability by David F. Anderson, ISBN-13: 978-1108415859 $50.00 Original price was: $50.00.$14.99Current price is: $14.99.

Introduction to Probability, Statistics, and Random Processes by Hossein Pishro-Nik, ISBN-13: 978-0990637202

$50.00 Original price was: $50.00.$14.32Current price is: $14.32.

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SKU: introduction-to-probability-statistics-and-random-processes-by-hossein-pishro-nik-isbn-13-978-0990637202 Category: Mathematics Tags: Hossein Pishro-Nik, Introduction to Probability Statistics and Random Processes by Hossein Pishro-Nik, ISBN-10: 0990637204, ISBN-13: 978-0990637202
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Description

Introduction to Probability, Statistics, and Random Processes by Hossein Pishro-Nik, ISBN-13: 978-0990637202

[PDF eBook eTextbook]

  • Publisher: ‎ Kappa Research, LLC (August 24, 2014)
  • Language: ‎ English
  • 744 pages
  • ISBN-10: ‎ 0990637204
  • ISBN-13: ‎ 978-0990637202

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.

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