Band 692
Robustness in Econometrics
Aus der Reihe
Studies in Computational Intelligence
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- Hardcover ausgewählt
- Taschenbuch
- eBook
-
Sprache:Englisch
Fr. 210.00
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Gebundene Ausgabe
Erscheinungsdatum
20.02.2017
Abbildungen
X, 129 illus., 120 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Herausgeber
Vladik Kreinovich + weitereVerlag
SpringerSeitenzahl
705
Maße (L/B/H)
24.1/16/4.4 cm
Gewicht
1226 g
Auflage
1st ed. 2017
Sprache
Englisch
ISBN
978-3-319-50741-5
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.
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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