Fundamentals of Applied Probability and Random Processes

Fundamentals of Applied Probability and Random Processes

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Description

This book is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the solution of engineering problems. Engineers and students studying probability and random processes also need to analyze data, and thus need some knowledge of statistics. This book is designed to provide students with a thorough grounding in probability and stochastic processes, demonstrate their applicability to real-world problems, and introduce the basics of statistics. The book's clear writing style and homework problems make it ideal for the classroom or for self-study.
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Product details

  • Hardback | 456 pages
  • 193 x 236.2 x 30.5mm | 1,156.67g
  • Academic Press Inc
  • San Diego, United States
  • English
  • 0120885085
  • 9780120885084

Review quote

"The extensive use of illustrative examples throughout the text will enhance the learning experience of students", Robert Morelos, San Jose State University

"It is an excellent book for students, teachers and practitioners interested in the analytical and computational procedures related to random variables and stochastic processes." Rajarathnam Chandramouli, Stevens Institute of Technology

"This is a good, solid introduction to probability theory and stochastic processes. Some advanced topics are introduced a bit earlier in the development than in other books - a good point", Tom Robertazzi, Stony Brook University
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Table of contents

Preface
Acknowledgments
Chapter 1 Basic Probability Concepts
Chapter 2 Random Variables
Chapter 3 Moments of Random Variables
Chapter 4 Special Probability Distributions
Chapter 5 Multiple Random Variables
Chapter 6 Functions of Random Variables
Chapter 7 Transform Methods
Chapter 8 Introduction to Random Processes
Chapter 9 Linear Systems with Random Inputs
Chapter 10 Some Models of Random Processes
Chapter 11 Introduction to Statistics
Appendix 1: Table for the CDF of the Standard Normal Random Variable
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About Oliver C. Ibe

Dr Ibe has been teaching at U Mass since 2003. He also has more than 20 years of experience in the corporate world, most recently as Chief Technology Officer at Sineria Networks and Director of Network Architecture for Spike Broadband Corp.
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