Description
A solid foundation in probability and a required course for many areas of study, including physical sciences, engineering, social sciences, business, and finance.
The long-awaited second edition of Fundamentals of Applied Probability and Random Processes expands on the central components that made the first edition a classic. This book is based on the premise that engineers use probability as a modeling tool and that probability can be applied to solving 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 clear writing style and homework problems included make this book ideal for the classroom or for self-study.
Features
Demonstrates concepts with more than 100 illustrations, including two dozen new drawings.
Expands readers' understanding of disruptive statistics in a new chapter (Chapter 8)
Provides a new chapter "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 and inferential statistics
Table of Contents 1. Basic Probability Concepts 2. Random Variables 3. Moments of Random Variables 4. Special Probability Distributions 5. Multiple Random Variables 6. Functions of Random Variables 7. Transform Methods 8. Introduction to Descriptive Statistics 9. Introduction to Inferential Statistics 10. Introduction to Random Processes 11. Linear Systems with Random Inputs 12. Special Random Processes