Probability, Statistics, and Stochastic Processes for Engineers and Scientists by Aliakbar Montazer Haghighi - ISBN: 9780367500863
Paperback
Unlock probability, statistics, and stochastic processes for engineering and science mastery.

Probability, Statistics, and Stochastic Processes for Engineers and Scientists

  • Paperback

    620 pages

  • Release Date

    1 July 2022

Summary

2020 Taylor & Francis Award Winner for Outstanding New Textbook!

Featuring recent advances in the field, this new textbook presents probability and statistics, and their applications in stochastic processes. This 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 in this field that combines these areas in one book, balances…

Book Details

ISBN-13:9780367500863
ISBN-10:0367500868
Author:Aliakbar Montazer Haghighi, Indika Wickramasinghe
Publisher:Taylor & Francis Ltd
Imprint:CRC Press
Format:Paperback
Number of Pages:620
Release Date:1 July 2022
Weight:1.18kg
Dimensions:156mm x 234mm
Series:Engineering Mathematics and Operations Research
A-Format
B-Format
C-Format
Probability, Statistics, and Stochastic Processes for Engineers and Scientists by Aliakbar Montazer Haghighi - ISBN: 9780367500863
156 × 234 mm
A4
mm / in
About The Author

Aliakbar Montazer Haghighi

Dr. Aliakbar Montazer Haghighi

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 the supervision of Lajos Takács. He holds a BA and MA in Mathematics from San Francisco State University, California.

Dr. Haghighi has extensive teaching, research, and administrative experience at universities worldwide. His research publications include mathematics books and lecture notes written in English and Farsi. His latest book, Delayed and Network Queues, co-authored with D.P. Mishev, was published by John Wiley & Sons Inc., New Jersey, USA in September 2016. His most recent book chapter, Stochastic Modeling in Industry and Management, Chapter 7 of A Modeling and Simulation in Industrial Engineering, co-authored with D.P. Mishev, was edited by Mangey Ram and J.P. Davim and published by Springer in 2018.

He is a lifetime member of AMS and SIAM and serves as the Co-Founder and Editor-in-Chief of Application and Applied Mathematics: An International Journal (AAM).

Dr. Indika Rathnathungalage Wickramasinghe

Assistant Professor in the Department of Mathematics at Prairie View A&M University, Texas, USA. He earned his Ph.D. in Mathematical Statistics from Texas Tech University, Lubbock, Texas, USA, under the supervision of Dr. Alex Trindade. He also holds an MS in Statistics from Texas Tech University, an MSc in Operations Research from Moratuwa University, Sri Lanka, and a BSc in Mathematics from the University of Kelaniya, Sri Lanka.

Dr. Wickramasinghe possesses over 15 years of teaching and research experience at various universities globally. He has individually and collaboratively published numerous research papers and successfully submitted several grant proposals.

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