| Robustness in Econometrics 2017 Edition Contributor(s): Kreinovich, Vladik (Editor), Sriboonchitta, Songsak (Editor), Huynh, Van-Nam (Editor) |
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ISBN: 3319507419 ISBN-13: 9783319507415 Publisher: Springer OUR PRICE: $189.99 Product Type: Hardcover - Other Formats Published: February 2017 |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Business & Economics | Econometrics - Technology & Engineering | Engineering (general) |
| Dewey: 006.3 |
| Series: Studies in Computational Intelligence |
| Physical Information: 1.5" H x 6.14" W x 9.21" (2.58 lbs) 705 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |