ISBN: 9789819201631 - Platform Supply Chains 2: Statistical Theories and Applications (platform Supply Chains in the Ai Era) (11 results)

Hardcover. Condition: new. Hardcover. This open access book delves into methodologies for addressing prevalent statistical problems in supply chainsincluding prediction with multi-source data, density response prediction and ranking problemsleveraging 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New.

Hardcover. Condition: new. Hardcover. This open access book delves into methodologies for addressing prevalent statistical problems in supply chainsincluding prediction with multi-source data, density response prediction and ranking problemsleveraging 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condition: Brand New. 189 pages. 6.30x0.63x9.49 inches. In Stock.

Hardcover. Condition: new. Hardcover. This open access book delves into methodologies for addressing prevalent statistical problems in supply chainsincluding prediction with multi-source data, density response prediction and ranking problemsleveraging 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 178 pp. Englisch.…

Condition: New. Print on Demand.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Condition: New. PRINT ON DEMAND.

Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This open access book delves into methodologies for addressing prevalent statistical problems in supply chainsincluding prediction with multi-source data, density response prediction and ranking problemsleveraging 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg Englisch.…