Probability, statistics, and stochastic processes for engineers and scientists / Aliakbar Montazer Haghighi and Indika Rathnathungalage Wickramasinghe.
Material type:
TextSeries: Publisher: Boca Raton : CRC Press, 2020Edition: 1stDescription: 1 online resource : illustrations (black and white)Content type: text | still image Media type: computer Carrier type: online resourceISBN: 9781351238380; 1351238388; 9781351238397; 1351238396; 9781351238373; 135123837X; 135123840X; 9781351238403Subject(s): Engineering -- Statistical methods | Stochastic analysis | MATHEMATICS / Probability & Statistics / Bayesian Analysis | TECHNOLOGY / Engineering / Industrial | TECHNOLOGY / Operations ResearchDDC classification: 519.5 LOC classification: TA340Online resources: Taylor & Francis | OCLC metadata license agreement Summary: 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 timelike the classic Gambler's Ruin Problem) Presents differentcurrent 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, Minitab, MS Excel, and R as options for illustration, programing and calculation purposes and data analysis Covers reliability and its application in network queues
<P>Preliminaries. Basics of Probability. Random Variables and Probability Distribution Functions . Descreptive Statistics. Inferential Statistics. Nonparametric Statistics. Stochastic Processes. Appendix. Bibliography. </P>
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 timelike the classic Gambler's Ruin Problem) Presents differentcurrent 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, Minitab, MS Excel, and R as options for illustration, programing and calculation purposes and data analysis Covers reliability and its application in network queues
OCLC-licensed vendor bibliographic record.