Probability, Statistics, and Stochastic Processes for Engineers and Scientists: 1st Edition (Hardback) book cover

Probability, Statistics, and Stochastic Processes for Engineers and Scientists

1st Edition

By Aliakbar Montazer Haghighi, Indika Rathnathungalage Wickramasinghe

CRC Press

576 pages | 120 B/W Illus.

Purchasing Options:$ = USD
Hardback: 9780815375906
pub: 2020-06-19
Available for pre-order. Item will ship after 19th June 2020

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Featuring recent advances in probability, statistics, and stochastic processes, this new textbook presents Probability and Statistics, and an introduction to Stochastic Processes. The book presents key information for understanding the essential aspects of basic probability theory and concepts of reliability as an application. The purpose of this book is to provide an option that combines these areas into one resource, balancing both theory, practical applications, and also keeping the practitioners in mind.


  • Includes numerous examples using current technologies with applications in various fields of study
  • Offers many practical applications of probability in queueing models, all of which are related to the appropriate stochastic processes such as the classic Gambler's Ruin Problem
  • Discusses current topics such as probability distributions used in real-world applications of statistics such as climate control and pollution
  • Illustrates how to use different options for calculation purposes and data analysis such as, Minitab, MS Excel, and R Programming
  • Covers reliability and its application in network queues

Table of Contents

Basic Probability and Descriptive Statistics. Probability Distribution Functions. Random Vectors. Inferential Statistics. Regression and Correlation. Non-parametric Statistics. Stochastic Processes. Appendix A.1. Introduction to R Programming.

About the Authors

Dr. Aliakbar Montazer Haghighi is Professor and Head of the Mathematics Department at Prairie View A&M University, Texas, USA. He received his Ph. D. in Probability and Statistics from Case Western Reserve University, Cleveland, Ohio, USA, under supervision of Lajos Takács; and his BA and MA in Mathematics from San Francisco State University, California. He has years of teaching, research and academic and administrative experiences at various universities globally. His research publications are extensive; they include mathematics books and Lecture Notes written in English and Farsi. His latest book with D.P. Mishev as co-author, titled "Delayed and Network Queues" appeared in September of 2016 was published by John Wiley & Sons Inc., New Jersey, USA; and his last Book-Chapter with D.P. Mishev as co-author, Stochastic Modeling in Indusry and Management, Chapter 7 of "A Modeling and Simulation in Industrial Engineering", Mangey Ram and J. P. Davim, Editors, to appear in 2018 by Springer. He is a life-time member of AMS and SIAM. He is the Co-Founder and is the Editor-in-Chief of Application and Applied Mathematics: An International Journal (AAM), More about him may be viewed at

Dr. Indika Rathnathungalage Wickramasinghe is an Assistant Professor in the Department of Mathematics at Prairie View A&M University, Texas, USA. He received his Ph. D. in Mathematical Statistics from Texas Tech University, Lubbock, Texas, USA, under supervision of Dr. Alex Trindade; MS in Statistics from Texas Tech University, Lubbock, Texas, USA; MSc in Operations Research from Moratuwa University, Sri Lanka and BSc in Mathematics from University of Kelaniya, Sri Lanka. He has over 15 years of teaching and research experiences at various universities globally. Dr. Wickramasinghe has individually and collaboratively published a number of research publications and successfully submitted several grant proposals. More information about him may be viewed at staff/iprathnathungalage/

About the Series

Mathematical Engineering, Manufacturing, and Management Sciences

The aim of this new book series is to publish the research studies and articles that bring up the latest development and research applied to mathematics and its applications in the manufacturing and management sciences areas. Mathematical tool and techniques are the strength of engineering sciences. They form the common foundation of all novel disciplines as engineering evolves and develops. The series will include a comprehensive range of applied mathematics and its application in engineering areas such as optimization techniques, mathematical modelling and simulation, stochastic processes and systems engineering, safety-critical system performance, system safety, system security, high assurance software architecture and design, mathematical modelling in environmental safety sciences, finite element methods, differential equations, reliability engineering, etc.

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Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / Bayesian Analysis
TECHNOLOGY & ENGINEERING / Industrial Engineering
TECHNOLOGY & ENGINEERING / Operations Research