Buch, Englisch, 538 Seiten, Format (B × H): 174 mm x 246 mm, Gewicht: 1111 g
Buch, Englisch, 538 Seiten, Format (B × H): 174 mm x 246 mm, Gewicht: 1111 g
Reihe: Structures and Infrastructures
ISBN: 978-0-415-49247-8
Verlag: CRC Press
This book explains theories and tools to represent uncertainty using both data and expert judgment. It teaches the reader how to make design or business decisions when there is limited information with these tools. Readers will learn a structured, risk-based approach, which is based on common sense principles, for design and business decisions. These decisions are consistent with the decision-maker’s risk attitude.
The book is exceptionally suited as educational material because it uses everyday language and real-life examples to elucidate concepts. It demonstrates how these concepts touch our lives through many practical examples, questions and exercises. These are designed to help students learn that first they should understand a problem and then establish a strategy for solving it, instead of using trial-and-error approaches.
This volume is intended for undergraduate and graduate courses in mechanical, civil, industrial, aerospace, and ocean engineering and for researchers and professionals in these disciplines. It will also benefit managers and students in business administration who want to make good decisions with limited information.
Zielgruppe
Postgraduate, Professional, and Professional Practice & Development
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
- Mathematik | Informatik Mathematik Operations Research
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau Konstruktionslehre, Bauelemente, CAD
- Technische Wissenschaften Technik Allgemein Konstruktionslehre und -technik
Weitere Infos & Material
Editorial, About the Book Series Editor, Preface, About the Authors, 1. Design Decision under Uncertainty, 2. Overview of Theories of Uncertainty and Tools for Modeling Uncertainty, 3. Objective Probability, 4. Statistical Inference – Constructing Probabilistic Models from Observations, 5. Probabilistic Analysis of Dynamic Systems, 6. Subjective (Bayesian) Probability, 7. Decision Analysis, 8. Multiattribute Considerations in Design, Questions and Exercises, Glossary, References, Structures and Infrastructures Series