Probability, Statistics, and Stochastic Processes for Engineers and Scientists (Engineering Mathematics and Operations Research)

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®, Minitab, MS Excel, and R as options for illustration, programing and calculation purposes and data analysis 
Covers reliability and its application in network queues

Science & Math

Haghighi, Aliakbar Montazer

Wickramasinghe, Indika

Appiah, Emmanuel A.

Mathematics

CRC-Press

Featuring recent advances in probability, statistics, and stochastic processes, this new textbook presents Probability and Statistics, and an introduction to Stochastic Processes. The 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 that combines these areas into one resource, balancing both theory, practical applications, and also keeping the practitioners in mind. Features <ul> <li>Includes numerous examples using current technologies with applications in various fields of study</li> <li>Offers many practical applications of probability in queueing models, all of which are related to the appropriate stochastic processes such as the classic Gambler's Ruin Problem</li> <li>Discusses current topics such as probability distributions used in real-world applications of statistics such as climate control and pollution</li> <li>Illustrates how to use different options for calculation purposes and data analysis such as, Minitab, MS Excel, and R Programming</li> <li>Covers reliability and its application in network queues</li> </ul>

A Useful Guide to the Interrelated Areas of Differential Equations, Difference Equations, and Queueing Models Difference and Differential Equations with Applications in Queueing Theory presents the unique connections between the methods and applications of differential equations, difference equations, and Markovian queues. Featuring a comprehensive collection of topics that are used in stochastic processes, particularly in queueing theory, the book thoroughly discusses the relationship to systems of linear differential difference equations. The book demonstrates the applicability that queueing theory has in a variety of fields including telecommunications, traffic engineering, computing, and the design of factories, shops, offices, and hospitals. Along with the needed prerequisite fundamentals in probability, statistics, and Laplace transform, Difference and Differential Equations with Applications in Queueing Theory provides: <ul>
<li>A discussion on splitting, delayed-service, and delayed feedback for single-server, multiple-server, parallel, and series queue models</li> <li>Applications in queue models whose solutions require differential difference equations and generating function methods</li> <li>Exercises at the end of each chapter along with select answers</li> </ul>
The book is an excellent resource for researchers and practitioners in applied mathematics, operations research, engineering, and industrial engineering, as well as a useful text for upper-undergraduate and graduate-level courses in applied mathematics, differential and difference equations, queueing theory, probability, and stochastic processes.

Difference and Differential Equations with Applications in Queueing Theory

Mishev, Dimitar P.

wiley

A Useful Guide to the Interrelated Areas of Differential Equations, Difference Equations, and Queueing Models Difference and Differential Equations with Applications in Queueing Theory presents the unique connections between the methods and applications of differential equations, difference equations, and Markovian queues. Featuring a comprehensive collection of topics that are used in stochastic processes, particularly in queueing theory, the book thoroughly discusses the relationship to systems of linear differential difference equations. The book demonstrates the applicability that queueing theory has in a variety of fields including telecommunications, traffic engineering, computing, and the design of factories, shops, offices, and hospitals. Along with the needed prerequisite fundamentals in probability, statistics, and Laplace transform, Difference and Differential Equations with Applications in Queueing Theory provides: <ul> <li>A discussion on splitting, delayed-service, and delayed feedback for single-server, multiple-server, parallel, and series queue models</li> <li>Applications in queue models whose solutions require differential difference equations and generating function methods</li> <li>Exercises at the end of each chapter along with select answers</li> </ul> The book is an excellent resource for researchers and practitioners in applied mathematics, operations research, engineering, and industrial engineering, as well as a useful text for upper-undergraduate and graduate-level courses in applied mathematics, differential and difference equations, queueing theory, probability, and stochastic processes.

Presents an introduction to differential equations, probability, and stochastic processes with real-world applications of queues with delay and delayed network queues Featuring recent advances in queueing theory and modeling, Delayed and Network Queues provides the most up-to-date theories in queueing model applications. Balancing both theoretical and practical applications of queueing theory, the book introduces queueing network models as tools to assist in the answering of questions on cost and performance that arise throughout the life of a computer system and signal processing. Written by well-known researchers in the field, the book presents key information for understanding the essential aspects of queues with delay and networks of queues with unreliable nodes and vacationing servers. <ul>
<li>Beginning with simple analytical fundamentals, the book contains a selection of realistic and advanced queueing models that address current deficiencies. In addition, the book presents the treatment of queues with delay and networks of queues, including possible breakdowns and disruptions that may cause delay. Delayed and Network Queues also features:</li> </ul>
<ul>
<li>Numerous examples and exercises with applications in various fields of study such as mathematical sciences, biomathematics, engineering, physics, business, health industry, and economics</li> </ul>
<ul>
<li>A wide array of practical applications of network queues and queueing systems, all of which are related to the appropriate stochastic processes</li> </ul>
<ul>
<li>Up-to-date topical coverage such as single- and multiserver queues with and without delays, along with the necessary fundamental coverage of probability and difference equations</li> </ul>
<ul>
<li>Discussions on queueing models such as single- and multiserver Markovian queues with balking, reneging, delay, feedback, splitting, and blocking, as well as their role in the treatment of networks of queues with and without delay and network reliability</li> </ul>
Delayed and Network Queues is an excellent textbook for upper-undergraduate and graduate-level courses in applied mathematics, queueing theory, queueing systems, probability, and stochastic processes. The book is also an ideal reference for academics and practitioners in mathematical sciences, biomathematics, operations research, management, engineering, physics, business, economics, health industry, and industrial engineering. Aliakbar Montazer Haghighi, PhD, is Professor and Head of the Department of Mathematics at Prairie View A&amp;M University, USA, as well as founding Editor-in-Chief of Applications and Applied Mathematics: An International Journal (AAM). His research interests include probability, statistics, stochastic processes, and queueing theory. Among his research publications and books, Dr. Haghighi is the coauthor of Difference and Differential Equations with Applications in Queueing Theory (Wiley, 2013). Dimitar P. Mishev, PhD, is Professor in the Department of Mathematics at Prairie View A&amp;M University, USA. His research interests include differential and difference equations and queueing theory. The author of numerous research papers and three books, Dr. Mishev is the coauthor of Difference and Differential Equations with Applications in Queueing Theory (Wiley, 2013).

Delayed and Network Queues

Computers & Technology

Networking & Cloud Computing

Topics in advanced mathematics for engineers, probability and statistics typically span three subject areas, are addressed in three separate textbooks and taught in three different courses in as many as three semesters. Due to this arrangement, students taking these courses have had to shelf some important and fundamental engineering courses until much later than is necessary. This practice has generally ignored some striking relations that exist between the seemingly separate areas of statistical concepts, such as moments and estimation of Poisson distribution parameters. On one hand, these concepts commonly appear in stochastic processes - for instance, in measures on effectiveness in queuing models. On the other hand, they can also be viewed as applied probability in engineering disciplines - mechanical, chemical, and electrical, as well as in engineering technology. There is obviously, an urgent need for a textbook that recognizes the corresponding relationships between the various areas and a matching cohesive course that will see through to their fundamental engineering courses as early as possible. This book is designed to achieve just that. Its seven chapters, while retaining their individual integrity, flow from selected topics in advanced mathematics such as complex analysis and wavelets to probability, statistics and stochastic processes.

Advanced Mathematics for Engineers With Applications in Stochastic Processes (Mathematics Research Developments)

Lian, Jian-ao

Nova Science Pub Inc

Advanced Mathematics for Engineers with Applications in Stochastic Processes (Mathematics Research Developments)

<div>This textbook provides a comprehensive, thorough and up-to-date treatment of topics of mathematics that an engineer and scientist would need, at the basic levels that contents of engineering and sciences are built by. For this purpose, natural readers would be junior and senior undergraduate students, who normally have the content of this book under different names on their degree plans. Also, engineers and scientists will benefit from this book since the book is a comprehensive volume for such audiences.</div> <div> </div> <div>This book is written in a way that it balances both theory and practical applications of topics from linear algebra, matrix theory, calculus of multivariable, theory of complex variables, several transforms, ordinary and partial differential equations, difference equations, optimization, probability, statistics, theory of reliability and finally, applications from variety of areas of sciences and engineering.</div>

Higher Mathematics for Science and Engineering

Kumar, Abburi Anil

Chemistry

Springer

See the best price to sell, buy, or rent books by Haghighi, Aliakbar Montazer. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Haghighi, Aliakbar Montazer

See the best price to sell, buy, or rent books by Haghighi, Aliakbar Montazer. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Probability, Statistics, and Stochastic Processes for Engineers and Scientists (Engineering Mathematics and Operations Research)

Probability, Statistics, and Stochastic Processes for Engineers and Scientists (Engineering Mathematics and Operations Research)

Difference and Differential Equations with Applications in Queueing Theory

Difference and Differential Equations with Applications in Queueing Theory

Difference and Differential Equations with Applications in Queueing Theory

Delayed and Network Queues

Advanced Mathematics for Engineers With Applications in Stochastic Processes (Mathematics Research Developments)

Advanced Mathematics for Engineers with Applications in Stochastic Processes (Mathematics Research Developments)

Higher Mathematics for Science and Engineering