Yüklüyor…
Robustness in Econometrics
This book presents recent research on robustness in econometrics. Robust data processing techniques - i.e., techniques that yield results minimally affected by outliers - and their applications to real-life economic and financial situations are the main focus of this book. The book also discusses ap...
| Müşterek Yazar: | |
|---|---|
| Diğer Yazarlar: | , , |
| Materyal Türü: | e-Kitap |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
|
| Edisyon: | 1st ed. 2017. |
| Seri Bilgileri: | Studies in Computational Intelligence,
692 |
| Konular: | |
| Online Erişim: | Full-text access OPAC'ta görüntüle |
| Özet: | This book presents recent research on robustness in econometrics. Robust data processing techniques - i.e., techniques that yield results minimally affected by outliers - and their applications to real-life economic and financial situations are the main focus of this book. The book also discusses applications of more traditional statistical techniques to econometric problems. Econometrics is a branch of economics that uses mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance. In day-by-day data, we often encounter outliers that do not reflect the long-term economic trends, e.g., unexpected and abrupt fluctuations. As such, it is important to develop robust data processing techniques that can accommodate these fluctuations. |
|---|---|
| Fiziksel Özellikler: | X, 705 p. 129 illus., 120 illus. in color. online resource. |
| ISBN: | 9783319507422 |
| ISSN: | 1860-9503 ; |
| DOI: | 10.1007/978-3-319-50742-2 |