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(Ebook) Probability, Statistics, and Stochastic Processes for Engineers and Scientists (Mathematical Engineering, Manufacturing, and Management Sciences) by Aliakbar Montazer Haghighi, Indika Wickramasinghe ISBN 9780815375906, 0815375905

  • SKU: EBN-11270430
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Instant download (eBook) Probability, Statistics, and Stochastic Processes for Engineers and Scientists (Mathematical Engineering, Manufacturing, and Management Sciences) after payment.
Authors:Aliakbar Montazer Haghighi, Indika Wickramasinghe
Pages:634 pages.
Year:2020
Editon:First
Publisher:CRC Press
Language:english
File Size:8.85 MB
Format:pdf
ISBNS:9780815375906, 0815375905
Categories: Ebooks

Product desciption

(Ebook) Probability, Statistics, and Stochastic Processes for Engineers and Scientists (Mathematical Engineering, Manufacturing, and Management Sciences) by Aliakbar Montazer Haghighi, Indika Wickramasinghe ISBN 9780815375906, 0815375905

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 studyOffers 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 pollutionDifferent types of computer software such as MATLAB®, Minitab, MS Excel, and R as options for illustration, programing and calculation purposes and data analysisCovers reliability and its application in network queues
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