Probability, Statistics, and Stochastic Processes for Engineers and Scientists
1st Edition
Published on 14. July 2020
634 pages
978-1-351-23839-7 (ISBN)
Description
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 both theory and practical applications, and also keeps the practitioners in mind.
Features
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 (continuous time such as waiting time, and fuzzy and discrete time like the classic Gambler's Ruin Problem)
Presents different current topics like probability distributions used in real-world applications of statistics such as climate control and pollution
Different types of computer software such as MATLAB (R), Minitab, MS Excel, and R as options for illustration, programing and calculation purposes and data analysis
Covers reliability and its application in network queues
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 both theory and practical applications, and also keeps the practitioners in mind.
Features
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 (continuous time such as waiting time, and fuzzy and discrete time like the classic Gambler's Ruin Problem)
Presents different current topics like probability distributions used in real-world applications of statistics such as climate control and pollution
Different types of computer software such as MATLAB (R), Minitab, MS Excel, and R as options for illustration, programing and calculation purposes and data analysis
Covers reliability and its application in network queues
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Illustrations
165 Tables, black and white; 94 Line drawings, black and white; 26 Halftones, black and white; 120 Illustrations, black and white
ISBN-13
978-1-351-23839-7 (9781351238397)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Aliakbar Montazer Haghighi | Indika Wickramasinghe
Probability, Statistics, and Stochastic Processes for Engineers and Scientists
Book
07/2022
1st Edition
CRC Press
€103.50
Shipment within 15-20 days
Aliakbar Montazer Haghighi
Probability, Statistics, and Stochastic Processes for Engineers and Scientists
Book
12/2020
CRC Press
Unfortunately, price unknown
Available (delivery time upon request)
Aliakbar Montazer Haghighi | Indika Wickramasinghe | Emmanuel A. Appiah
Probability, Statistics, and Stochastic Processes for Engineers and Scientists
Book
07/2020
1st Edition
CRC Press
€235.90
Shipment within 15-20 days
Persons
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 Takacs; 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), http://www.pvamu.edu/aam. More about him may be viewed at https://www.pvamu.edu/bcas/departments/mathematics/faculty-and-staff/amhaghighi/.
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 https://www.pvamu.edu/bcas/departments/mathematics/faculty-and- staff/iprathnathungalage/
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 https://www.pvamu.edu/bcas/departments/mathematics/faculty-and- staff/iprathnathungalage/
Content
Preliminaries. Basics of Probability. Random Variables and Probability Distribution Functions. Descriptive Statistics. Inferential Statistics. Nonparametric Statistics. Stochastic Processes. Appendix. Bibliography.
