| 書(shū)目名稱 | Continuous Time Modeling in the Behavioral and Related Sciences | | 編輯 | Kees van Montfort,Johan H. L. Oud,Manuel C. Voelkl | | 視頻video | http://file.papertrans.cn/238/237024/237024.mp4 | | 概述 | This is the first and only book on continuous time modeling in the behavioral and related sciences.Introduces Newtonian dynamics modeling by means of differential equations for behavioral and related | | 圖書(shū)封面 |  | | 描述 | .This unique book provides an overview of continuous time modeling in the behavioral and related sciences. It argues that the use of discrete time models for processes that are in fact evolving in continuous time produces problems that make their application in practice highly questionable. One main issue is the dependence of discrete time parameter estimates on the chosen time interval, which leads to incomparability of results across different observation intervals. Continuous time modeling by means of differential equations offers a powerful approach for studying dynamic phenomena, yet the use of this approach in the behavioral and related sciences such as psychology, sociology, economics and medicine, is still rare. This is unfortunate, because in these fields often only a few discrete time (sampled) observations are available for analysis (e.g., daily, weekly, yearly, etc.). However, as emphasized by Rex Bergstrom, the pioneer of continuous-time modeling in econometrics, neitherhuman beings nor the economy cease to exist in between observations. ..In 16 chapters, the book addresses a vast range of topics in continuous time modeling, from approaches that closely mimic tradition | | 出版日期 | Book 2018 | | 關(guān)鍵詞 | 37N40, 62M10, 62P15, 62P25, 65F60, 91B99, 91D30, 93E99, 97M70; continuous time modeling; recursive par | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-77219-6 | | isbn_softcover | 978-3-030-08401-1 | | isbn_ebook | 978-3-319-77219-6 | | copyright | Springer International Publishing AG, part of Springer Nature 2018 |
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