Fundamentals of Stochastic Models (Paperback)

Zhe George Zhang

ISBN 10: 0367712628 / ISBN 13: 9780367712624

Editore: Taylor & Francis Ltd, London, 2024

Riguardo questo articolo

Paperback. Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors. This area is highly technical and mainly developed by mathematicians. Most existing books are for those with extensive mathematical training; this book minimizes that need and makes the topics easily understandable.Fundamentals of Stochastic Models offers many practical examples and applications and bridges the gap between elementary stochastics process theory and advanced process theory. It addresses both performance evaluation and optimization of stochastic systems and covers different modern analysis techniques such as matrix analytical methods and diffusion and fluid limit methods. It goes on to explore the linkage between stochastic models, machine learning, and artificial intelligence, and discusses how to make use of intuitive approaches instead of traditional theoretical approaches.The goal is to minimize the mathematical background of readers that is required to understand the topics covered in this book. Thus, the book is appropriate for professionals and students in industrial engineering, business and economics, computer science, and applied mathematics. Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors. This area is highly technical and mainly developed by mathematicians. Most existing books are for those with extensive mathematical training; this book minimizes that need and makes the topics easily understandable. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Codice articolo 9780367712624

Dati bibliografici

• Titolo: Fundamentals of Stochastic Models (Paperback)
• Editore: Taylor & Francis Ltd, London
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 0367712628
• ISBN 13: 9780367712624
• Rilegatura: Paperback
• Condizione: new

Descrizione articolo

Riassunto

Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors. This area is highly technical and mainly developed by mathematicians. Most existing books are for those with extensive mathematical training; this book minimizes that need and makes the topics easily understandable.

Fundamentals of Stochastic Models offers many practical examples and applications and bridges the gap between elementary stochastics process theory and advanced process theory. It addresses both performance evaluation and optimization of stochastic systems and covers different modern analysis techniques such as matrix analytical methods and diffusion and fluid limit methods. It goes on to explore the linkage between stochastic models, machine learning, and artificial intelligence, and discusses how to make use of intuitive approaches instead of traditional theoretical approaches.

The goal is to minimize the mathematical background of readers that is required to understand the topics covered in this book. Thus, the book is appropriate for professionals and students in industrial engineering, business and economics, computer science, and applied mathematics.

Informazioni sull?autore

Professor Zhe George Zhang is a professor of Management Science in the Department of Decision Sciences, at the College of Business and Economics, Western Washington University. He has published more than 110 papers in prestigious journals such as Management Science, Operations Research, Manufacturing & Service Operations Management, Production and Operations Management, IIE Transactions, IEEE Transactions, Queueing Systems, Journal of Applied Probability. Co-authored with N. Tian, he published the research monograph entitled Vacation Queueing Models – Theory and Applications in 2006 by Springer, which is the first book on this topic and has been widely cited since its publication. Professor Zhang is one of the Editors-in-Chief for Journal of the Operational Research Society, the first Operational Research journal in the world, and one of the founding Editors-in-Chief for new journal Queueing Models and Service Management and is on the editorial board of several international journals.