| 書目名稱 | The Demand for Life Insurance |
| 副標(biāo)題 | Dynamic Ecological S |
| 編輯 | Wookjae Heo |
| 視頻video | http://file.papertrans.cn/908/907316/907316.mp4 |
| 概述 | Investigates the demand for life insurance as seen in previous literature.Estimates and predicts the demand for the adoption of life insurance.Explores a better estimation and a prediction of the dema |
| 圖書封面 |  |
| 描述 | .This book, adopting machine learning techniques for the financial planning field, explores the demand for life insurance as seen in previous literature and both estimates and predicts the demand for the adoption of life insurance using these techniques. Previous studies used diverse perspectives, like actuarial and life span, in order to understand the demand for life insurance, though these approaches have shown inconsistent findings. Employing two theoretical backgrounds—ecological systemic theory and artificial intellectual methodology—this book explores a better estimation and a prediction of the demand for life insurance and will be of interest to academics and students of insurance, financial planning, and risk management.. |
| 出版日期 | Book 2020 |
| 關(guān)鍵詞 | Machine Learning; Financial Planning; Ecological Systemic Theory; Life Insurance; Insurance Planning; Pre |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-36903-3 |
| isbn_softcover | 978-3-030-36905-7 |
| isbn_ebook | 978-3-030-36903-3 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機版|小黑屋|
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