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.
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Hardcover. Etat : 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. N° de réf. du vendeur 9789819201631
Quantité disponible : 1 disponible(s)
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Buch. Etat : 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. N° de réf. du vendeur 9789819201631
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Vendeur : Books Puddle, Woodside, NY, Etats-Unis
Etat : New. N° de réf. du vendeur 26405797574
Quantité disponible : 4 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Buch. Etat : 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. N° de réf. du vendeur 9789819201631
Quantité disponible : 1 disponible(s)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand. N° de réf. du vendeur 408438041
Quantité disponible : 4 disponible(s)
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18405797580
Quantité disponible : 4 disponible(s)
Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. N° de réf. du vendeur 3051767490
Quantité disponible : Plus de 20 disponibles
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Hardcover. Etat : 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. N° de réf. du vendeur 9789819201631
Quantité disponible : 1 disponible(s)
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Hardcover. Etat : Brand New. 189 pages. 6.30x0.63x9.49 inches. In Stock. N° de réf. du vendeur x-9819201632
Quantité disponible : 1 disponible(s)
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Hardcover. Etat : 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. N° de réf. du vendeur 9789819201631
Quantité disponible : 1 disponible(s)