Fundamentals of Applied Probability and Random Processes

✍ Scribed by Oliver Ibe (Auth.)

• Publisher: Elsevier Inc, Academic Press
• Year: 2014
• Tongue: English
• Leaves: 438
• Edition: 2
• Category: Library

✦ Synopsis

The long-awaited revision of Fundamentals of Applied Probability and Random Processes expands on the central components that made the first edition a classic. The title 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.

• Demonstrates concepts with more than 100 illustrations, including 2 dozen new drawings
• Expands readers' understanding of disruptive statistics in a new chapter (chapter 8)
• Provides new chapter on Introduction to Random Processes with 14 new illustrations and tables explaining key concepts.
• Includes two chapters devoted to the two branches of statistics, namely descriptive statistics (chapter 8) and inferential (or inductive) statistics (chapter 9).

✦ Table of Contents

Content:
Front Matter, Pages i-ii
Copyright, Page iv
Acknowledgment, Pages xiv-xv
Preface to the Second Edition, Pages xvi-xviii
Preface to First Edition, Pages xix-xxi
Chapter 1 - Basic Probability Concepts, Pages 1-55
Chapter 2 - Random Variables, Pages 57-79
Chapter 3 - Moments of Random Variables, Pages 81-102
Chapter 4 - Special Probability Distributions, Pages 103-158
Chapter 5 - Multiple Random Variables, Pages 159-184
Chapter 6 - Functions of Random Variables, Pages 185-223
Chapter 7 - Transform Methods, Pages 225-251
Chapter 8 - Introduction to Descriptive Statistics, Pages 253-274
Chapter 9 - Introduction to Inferential Statistics, Pages 275-305
Chapter 10 - Introduction to Random Processes, Pages 307-343
Chapter 11 - Linear Systems with Random Inputs, Pages 345-368
Chapter 12 - Special Random Processes, Pages 369-425
Appendix - Table of CDF of the Standard Normal Random Variable, Pages 427-428
Bibliography, Pages 429-430
Index, Pages 431-434