Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 181,07
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: California Books, Miami, FL, Estados Unidos de America
EUR 192,18
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 175,26
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 181,17
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 193,79
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 208,88
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 216,52
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Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 218,67
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 252,36
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Añadir al carritoHardcover. Condición: Brand New. 288 pages. 9.19x6.13x0.80 inches. In Stock.
Idioma: Inglés
Publicado por Chapman And Hall/CRC Sep 2023, 2023
ISBN 10: 103250773X ISBN 13: 9781032507736
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 165,20
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book surveys what executives who make decisions based on forecasts and professionals responsible for forecasts should know about forecasting. It discusses how individuals and firms should think about forecasting and guidelines for good practices. It introduces readers to the subject of time series, presents basic and advanced forecasting models, from exponential smoothing across ARIMA to modern Machine Learning methods, and examines human judgment's role in interpreting numbers and identifying forecasting errors and how it should be integrated into organizations.This is a great book to start learning about forecasting if you are new to the area or have some preliminary exposure to forecasting. Whether you are a practitioner, either in a role managing a forecasting team or at operationally involved in demand planning, a software designer, a student or an academic teaching business analytics, operational research, or operations management courses, the book can inspire you to rethink demand forecasting.No prior knowledge of higher mathematics, statistics, operations research, or forecasting is assumed in this book. It is designed to serve as a first introduction to the non-expert who needs to be familiar with the broad outlines of forecasting without specializing in it. This may include a manager overseeing a forecasting group, or a student enrolled in an MBA program, an executive education course, or programs not specialising in analytics. Worked examples accompany the key formulae to show how they can be implemented.Key Features:While there are many books about forecasting technique, very few are published targeting managers. This book fills that gap.It provides the right balance between explaining the importance of demand forecasting and providing enough information to allow a busy manager to read a book and learn something that can be directly used in practice.It provides key takeaways that will help managers to make difference in their companies. 270 pp. Englisch.
Librería: moluna, Greven, Alemania
EUR 140,83
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Bahman Rostami-Tabar is an Associate Professor in Data and Management Science, at Cardiff University, UK.Dr. Stephan Kolassa is a Data Science Expert at SAP, Switzerland and Honorary Researcher at Lancaster University, UK.Prof. Enno Sie.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 197,21
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Añadir al carritoHRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 200,07
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 194,68
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Añadir al carritoCondición: New. This item is printed on demand.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 182,24
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book surveys what executives who make decisions based on forecasts and professionals responsible for forecasts should know about forecasting. It discusses how individuals and firms should think about forecasting and guidelines for good practices. It introduces readers to the subject of time series, presents basic and advanced forecasting models, from exponential smoothing across ARIMA to modern Machine Learning methods, and examines human judgment's role in interpreting numbers and identifying forecasting errors and how it should be integrated into organizations.This is a great book to start learning about forecasting if you are new to the area or have some preliminary exposure to forecasting. Whether you are a practitioner, either in a role managing a forecasting team or at operationally involved in demand planning, a software designer, a student or an academic teaching business analytics, operational research, or operations management courses, the book can inspire you to rethink demand forecasting.No prior knowledge of higher mathematics, statistics, operations research, or forecasting is assumed in this book. It is designed to serve as a first introduction to the non-expert who needs to be familiar with the broad outlines of forecasting without specializing in it. This may include a manager overseeing a forecasting group, or a student enrolled in an MBA program, an executive education course, or programs not specialising in analytics. Worked examples accompany the key formulae to show how they can be implemented.Key Features:While there are many books about forecasting technique, very few are published targeting managers. This book fills that gap.It provides the right balance between explaining the importance of demand forecasting and providing enough information to allow a busy manager to read a book and learn something that can be directly used in practice.It provides key takeaways that will help managers to make difference in their companies.