Fundamentals of Applied Probability and Random Processes

Other | October 1, 2005

byIbe, Oliver, Oliver Ibe

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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.

* Good and solid introduction to probability theory and stochastic processes
* Logically organized; writing is presented in a clear manner
* Choice of topics is comprehensive within the area of probability
* Ample homework problems are organized into chapter sections

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From the Publisher

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 studen...

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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Format:OtherDimensions:456 pages, 1 × 1 × 1 inPublished:October 1, 2005Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0080492703

ISBN - 13:9780080492704

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Extra Content

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