Robustness in Econometrics / Studies in Computational Intelligence Bd.692 (PDF)
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- 2017, 1st ed. 2017, 705 Seiten, Englisch
- Herausgegeben: Vladik Kreinovich, Songsak Sriboonchitta, Van-Nam Huynh
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319507427
- ISBN-13: 9783319507422
- Erscheinungsdatum: 11.02.2017
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Grösse: 14 MB
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Sprache:
Englisch
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