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商品詳細
Econometrics of Risk. リスクの計量経済学
・ISBN 978-3-319-13448-2 hard EUR 99.99
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| 著者・編者 | Huynh, Van-Nam / Kreinovich, Vladik / Sriboonchitta, Songsak et al. (eds.), |
|---|---|
| シリーズ | Studies in Computational Intelligence |
| 出版社 | (Springer, GW) |
| 出版年月 | 2015 |
| ページ数 | x, 498 pp. |
| 言語 | ENG |
| ニュース番号 | ＜622-281＞ |
解説
This edited book contains several state-of-the-art papers devoted to econometrics of risk. Some papers provide theoretical analysis of the corresponding mathematical, statistical, computational, and economical models. Other papers describe applications of the novel risk-related econometric techniques to real-life economic situations. The book presents new methods developed just recently, in particular, methods using non-Gaussian heavy-tailed distributions, methods using non-Gaussian copulas to properly take into account dependence between different quantities, methods taking into account imprecise ("fuzzy") expert knowledge, and many other innovative techniques.
This versatile volume helps practitioners to learn how to apply new techniques of econometrics of risk, and researchers to further improve the existing models and to come up with new ideas on how to best take into account economic risks.