Buch, Englisch, 178 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 442 g
Statistical Theories and Applications
Buch, Englisch, 178 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 442 g
Reihe: Platform Supply Chains in the AI Era
ISBN: 978-981-9201-63-1
Verlag: Springer
This open access book delves into methodologies for addressing prevalent statistical problems in supply chains—including prediction with multi-source data, density response prediction and ranking problems—leveraging model averaging techniques and numerical experiments. Its innovation lies in addressing uncertainty in model design and variable selection by integrating multiple viable candidate models instead of relying on a single one, while enhancing model performance through tailored model-averaging weight criteria.
The intended readership of this book includes undergraduate students in universities, graduates, and academic researchers in the field of management science, data science and statistics. This book is suitable for those with a master's degree or above in management science or statistics.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Chapter 1. Introduction.- Chapter 2. Platform-based Supply Chain Prediction Models Driven by Multi-source Heterogeneous Data.- Chapter 3. Model Averaging Fr´echet Regression for Demand Distributions in Supply Chain Decisions.- Chapter 4. RMA: Ranking Based on Model Averaging.- Chapter 5. Conclusion.
