Buch, Englisch, Band 111, 220 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 371 g
Reihe: International Series in Operations Research & Management Science
Buch, Englisch, Band 111, 220 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 371 g
Reihe: International Series in Operations Research & Management Science
ISBN: 978-1-4419-4415-3
Verlag: Springer US
Simulation is a widely used methodology in all the Applied Science disciplines. It provides a flexible, powerful and intuitive tool for investigating how to design a process or system, and how to maximize its efficiency. Simulation's effectiveness depends greatly on how well the simulation experiments are designed and analyzed. Design and Analysis of Simulation Experiments will focus on this crucial phase in the overall process of applying simulation. The book will include the best of both classic and modern methods of simulation experimentation, and as a result, it will provide a state-of-the-art treatment of the topic. This book will be the standard reference book on the topic for both researchers and sophisticated practitioners in the area, and it will be used as a textbook in courses or seminars focusing on this topic.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftstheorie, Wirtschaftsphilosophie
- Mathematik | Informatik Mathematik Operations Research
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Entscheidungstheorie, Sozialwahltheorie
- Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsstatistik, Demographie
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
- Mathematik | Informatik Mathematik Mathematik Interdisziplinär Systemtheorie
Weitere Infos & Material
Preface.- Introduction.- Black Box Metamodels.- Low-Order Polynomial Regression.- Metamodels and Designs: A Single Factor.- Low-Order Polynomial Models and Designs: Multiple Factors.- Low-Order Polynomial Models and Screening Designs: Hundreds of Factors.- Kriging Metamodels.- Latin Hypercube Sampling (LHS) and other Space-Filling Designs.- Cross-Validation of Metamodels.- Conclusions and Further Research.