Fundamentals Of Applied Probability And Random Processes

Description

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This book offers a strong introduction to probability theory and stochastic processes, featuring a logically organized and clear presentation of material. It covers a comprehensive range of topics within probability, complemented by ample homework problems conveniently arranged by chapter. Designed with the premise that probability serves as a vital modeling tool for engineers tackling real-world problems, this text also equips students with essential statistical knowledge for data analysis. It aims to provide a thorough foundation in probability and stochastic processes, illustrate their practical applications, and introduce fundamental statistical concepts. The book’s accessible writing style and practice problems make it suitable for both classroom use and independent study. Ideal for junior and senior undergraduate students, as well as those at lower graduate levels, this book is particularly well-suited for engineering programs. As noted in MAA Reviews, “Each chapter is broken down into small subunits, making this a useful reference book as well as a textbook. The material is presented clearly, and solved problems are included in the text.” Authored by Oliver Ibe from the University of Massachusetts, Lowell, U.S.A., the book includes a detailed Table of Contents starting with a Preface and Acknowledgments, followed by Chapter 1, “Basic Probability Concepts,” which delves into topics such as Sample Space and Events, Definitions of Probability (Axiomatic, Relative-Frequency, Classical), Applications of Probability (Reliability Engineering, Quality Control, Channel Noise, System Simulation), Elementary Set Theory, Properties of Probability, Conditional Probability (Total Probability and Bayes’ Theorem, Tree Diagram), Independent Events, and Combined Experiments.

About the Author

Oliver C. Ibe – University of Massachusetts Lowell, MA

Mathematics & Statistics
Non-Core Engineering
Engineering
9788131211205 ISBN
Ibe Book Author