| 書目名稱 | Judgment in Predictive Analytics |
| 編輯 | Matthias Seifert |
| 視頻video | http://file.papertrans.cn/502/501390/501390.mp4 |
| 概述 | Highlights the current state-of-the-art of judgment-based predictive analytics.Describes and explains the uniqueness of behavioral issues in forecasting.Covers various methodological approaches includ |
| 叢書名稱 | International Series in Operations Research & Management Science |
| 圖書封面 |  |
| 描述 | .This book highlights research on the behavioral biases affecting judgmental accuracy in judgmental forecasting and showcases the state-of-the-art in judgment-based predictive analytics. In recent years, technological advancements have made it possible to use predictive analytics to exploit highly complex (big) data resources. Consequently, modern forecasting methodologies are based on sophisticated algorithms from the domain of machine learning and deep learning. However, research shows that in the majority of industry contexts, human judgment remains an indispensable component of the managerial forecasting process. This book discusses ways in which decision-makers can address human behavioral issues in judgmental forecasting.?.The book begins by introducing readers to the notion of human-machine interactions. This includes a look at the necessity of managerial judgment in situations where organizations commonly have algorithmic decision support models at their disposal.The remainder of the book is divided into three parts, with Part I focusing on the role of individual-level judgment in the design and utilization of algorithmic models. The respective chapters cover individual-lev |
| 出版日期 | Book 2023 |
| 關(guān)鍵詞 | Judgmental Forecasting; Forecasting; Managerial Forecasting; Judgmental Accuracy; Judgment Aggregation; A |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-30085-1 |
| isbn_softcover | 978-3-031-30087-5 |
| isbn_ebook | 978-3-031-30085-1Series ISSN 0884-8289 Series E-ISSN 2214-7934 |
| issn_series | 0884-8289 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機(jī)版|小黑屋|
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