Discrete Stochastic Models and Applications for Reliability Engineering and Statistical Quality Control

This book provides real-life examples and illustrations of models in reliability engineering and statistical quality control and establishes a connection between the theoretical framework and their engineering applications.

Inhaltsverzeichnis

1. An Overview of Discrete Stochastic Modeling. 2. Discrete Probability Distributions. 3. Markov Chains. 4. Phase-Type Distributions. 5. Matrix-Geometric Distributions. 6. Some Particular Classes of Discrete Distributions. 7. Other Discrete Stochastic Models Involving Dependency. 8. Applications.

Über den Autor / die Autorin

Serkan Eryilmaz completed his Ph.D. at Ankara University (Turkey) in 2002. He is currently working as a professor at Department of Industrial Engineering and serving as vice president for research at Atilim University, Ankara. He is the present co-chair of the System Reliability Technical Committee of the European Safety and Reliability Association. He currently serves as a member of the Editorial Board of Reliability Engineering and System Safety and an Area Editor of the IISE Transactions- Quality & Reliability Engineering. His research interests include reliability engineering, applied probability, stochastic modeling and renewable energy systems. He is the author of more than 180 publications. He was honored by TUBITAK (Scientific and Technological Research Council of Turkey) Science Incentive Award due to his highly qualified studies on system reliability in the field of stochastic models/ processes in operations research.

Zusammenfassung

This book provides real-life examples and illustrations of models in reliability engineering and statistical quality control and establishes a connection between the theoretical framework and their engineering applications.

Produktdetails

• Autoren: Serkan Eryilmaz
• Verlag: Taylor and Francis
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 07.10.2024
• EAN: 9780367749842
• ISBN: 978-0-367-74984-2
• Seiten: 170
• Gewicht: 300 g
• Illustration: Tabellen, schwarz-weiss
• Themen: Geisteswissenschaften, Kunst, Musik > Kunst > Innenarchitektur, Design; Naturwissenschaften, Medizin, Informatik, Technik > Mathematik > Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Sozialwissenschaften, Recht,Wirtschaft > Wirtschaft > Management; TECHNOLOGY & ENGINEERING / Quality Control, TECHNOLOGY & ENGINEERING / Industrial Engineering, MATHEMATICS / Probability & Statistics / Bayesian Analysis, TECHNOLOGY & ENGINEERING / Operations Research, Stochastics, Reliability engineering