Haghighi, Aliakbar Montazer,
Probability, statistics, and stochastic processes for engineers and scientists / Aliakbar Montazer Haghighi and Indika Rathnathungalage Wickramasinghe. - 1st. - 1 online resource : illustrations (black and white). - Mathematical engineering, manufacturing, and management sciences .
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
9781351238380 1351238388 9781351238397 1351238396 9781351238373 135123837X 135123840X 9781351238403
10.1201/9781351238403 doi
Engineering--Statistical methods.
Stochastic analysis.
MATHEMATICS / Probability & Statistics / Bayesian Analysis
TECHNOLOGY / Engineering / Industrial
TECHNOLOGY / Operations Research
TA340
519.5
Probability, statistics, and stochastic processes for engineers and scientists / Aliakbar Montazer Haghighi and Indika Rathnathungalage Wickramasinghe. - 1st. - 1 online resource : illustrations (black and white). - Mathematical engineering, manufacturing, and management sciences .
Preliminaries. Basics of Probability. Random Variables and Probability Distribution Functions . Descreptive Statistics. Inferential Statistics. Nonparametric Statistics. Stochastic Processes. Appendix. Bibliography.
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
9781351238380 1351238388 9781351238397 1351238396 9781351238373 135123837X 135123840X 9781351238403
10.1201/9781351238403 doi
Engineering--Statistical methods.
Stochastic analysis.
MATHEMATICS / Probability & Statistics / Bayesian Analysis
TECHNOLOGY / Engineering / Industrial
TECHNOLOGY / Operations Research
TA340
519.5