Judgment in Predictive Analytics
Editor
- Matthias Seifert(IE Business School)
Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-031-30085-1
Download full text from publisher
To our knowledge, this item is not available for download. To find whether it is available, there are three options:1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Book Chapters
The following chapters of this book are listed in IDEAS- Jason W. Burton & Mari-Klara Stein & Tina Blegind Jensen, 2023. "Beyond Algorithm Aversion in Human-Machine Decision-Making," International Series in Operations Research & Management Science, in: Matthias Seifert (ed.), Judgment in Predictive Analytics, chapter 0, pages 3-26, Springer.
- Thomas Bohné & Lennert Till Brokop & Jan Niklas Engel & Luisa Pumplun, 2023. "Subjective Decisions in Developing Augmented Intelligence," International Series in Operations Research & Management Science, in: Matthias Seifert (ed.), Judgment in Predictive Analytics, chapter 0, pages 27-52, Springer.
- Fotios Petropoulos & Nikolaos Kourentzes & Konstantinos Nikolopoulos & Enno Siemsen, 2023. "Judgmental Selection of Forecasting Models (Reprint)," International Series in Operations Research & Management Science, in: Matthias Seifert (ed.), Judgment in Predictive Analytics, chapter 0, pages 53-84, Springer.
- Matthias Seifert & Enno Siemsen & Allègre L. Hadida & Andreas E. Eisingerich, 2023. "Effective Judgmental Forecasting in the Context of Fashion Products (Reprint)," International Series in Operations Research & Management Science, in: Matthias Seifert (ed.), Judgment in Predictive Analytics, chapter 0, pages 85-114, Springer.
- Fotios Petropoulos & Konstantinos Nikopoulos, 2023. "Judgmental Interventions and Behavioral Change," International Series in Operations Research & Management Science, in: Matthias Seifert (ed.), Judgment in Predictive Analytics, chapter 0, pages 115-131, Springer.
- Pavel Atanasov & Mark Himmelstein, 2023. "Talent Spotting in Crowd Prediction," International Series in Operations Research & Management Science, in: Matthias Seifert (ed.), Judgment in Predictive Analytics, chapter 0, pages 135-184, Springer.
- Robert N. Collins & David R. Mandel & David V. Budescu, 2023. "Performance-Weighted Aggregation: Ferreting Out Wisdom Within the Crowd," International Series in Operations Research & Management Science, in: Matthias Seifert (ed.), Judgment in Predictive Analytics, chapter 0, pages 185-214, Springer.
- Mark Himmelstein & David V. Budescu & Ying Han, 2023. "The Wisdom of Timely Crowds," International Series in Operations Research & Management Science, in: Matthias Seifert (ed.), Judgment in Predictive Analytics, chapter 0, pages 215-242, Springer.
- Dilek Önkal & M. Sinan Gönül & Paul Goodwin, 2023. "Supporting Judgment in Predictive Analytics: Scenarios and Judgmental Forecasts," International Series in Operations Research & Management Science, in: Matthias Seifert (ed.), Judgment in Predictive Analytics, chapter 0, pages 245-264, Springer.
- Shari Baets & Nigel Harvey, 2023. "Incorporating External Factors into Time Series Forecasts," International Series in Operations Research & Management Science, in: Matthias Seifert (ed.), Judgment in Predictive Analytics, chapter 0, pages 265-287, Springer.
- Efrain Rosemberg Montes, 2023. "Forecasting in Organizations: Reinterpreting Collective Judgment Through Mindful Organizing," International Series in Operations Research & Management Science, in: Matthias Seifert (ed.), Judgment in Predictive Analytics, chapter 0, pages 289-309, Springer.
- Robert N. Collins & David R. Mandel & David V. Budescu, 2023. "Correction to: Performance-Weighted Aggregation: Ferreting Out Wisdom Within the Crowd," International Series in Operations Research & Management Science, in: Matthias Seifert (ed.), Judgment in Predictive Analytics, chapter 12, pages C1-C1, Springer.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:isorms:978-3-031-30085-1. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.