Studies in Computational Intelligence

By: Songsak Sriboonchitta (Editor), Vladik Kreinovich (Editor), Van-Nam Huynh (Editor)

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Paperback | 13 July 2018

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Paperback
716 Pages

Dimensions(cm)
23.5 x 15.5 x 3.63

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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.

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