Demand forecasting for executives and professionals:
"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 ti...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton, FL
CRC Press
2024
|
| Schlagworte: | |
| Zusammenfassung: | "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"-- |
| Beschreibung: | Literaturverzeichnis Seite 233-247 |
| Beschreibung: | xiii, 254 Seiten Diagramme |
| ISBN: | 9781032507736 9781032507729 |
Internformat
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Datensatz im Suchindex
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| id | DE-604.BV049382043 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T22:59:22Z |
| indexdate | 2024-07-10T10:05:30Z |
| institution | BVB |
| isbn | 9781032507736 9781032507729 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034709658 |
| oclc_num | 1410710021 |
| open_access_boolean | |
| owner | DE-739 DE-1050 |
| owner_facet | DE-739 DE-1050 |
| physical | xiii, 254 Seiten Diagramme |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | CRC Press |
| record_format | marc |
| spelling | Kolassa, Stephan Verfasser (DE-588)1098194039 aut Demand forecasting for executives and professionals Stephan Kolassa, Bahman Rostami-Tabar and Enno Siemsen Boca Raton, FL CRC Press 2024 © 2024 xiii, 254 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Literaturverzeichnis Seite 233-247 "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"-- Economic forecasting Decision making Prévision économique Prise de décision decision making Rostami-Tabar, Bahman Verfasser aut Siemsen, Enno Verfasser aut Erscheint auch als Online-Ausgabe, ebk 978-1-003-39959-9 |
| spellingShingle | Kolassa, Stephan Rostami-Tabar, Bahman Siemsen, Enno Demand forecasting for executives and professionals |
| title | Demand forecasting for executives and professionals |
| title_auth | Demand forecasting for executives and professionals |
| title_exact_search | Demand forecasting for executives and professionals |
| title_exact_search_txtP | Demand forecasting for executives and professionals |
| title_full | Demand forecasting for executives and professionals Stephan Kolassa, Bahman Rostami-Tabar and Enno Siemsen |
| title_fullStr | Demand forecasting for executives and professionals Stephan Kolassa, Bahman Rostami-Tabar and Enno Siemsen |
| title_full_unstemmed | Demand forecasting for executives and professionals Stephan Kolassa, Bahman Rostami-Tabar and Enno Siemsen |
| title_short | Demand forecasting for executives and professionals |
| title_sort | demand forecasting for executives and professionals |
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