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Robustness in Econometrics (Hardcover, 1st ed. 2017) Loot Price: R5,303
Discovery Miles 53 030
Robustness in Econometrics (Hardcover, 1st ed. 2017): Vladik Kreinovich, Songsak Sriboonchitta, Van-Nam Huynh

Robustness in Econometrics (Hardcover, 1st ed. 2017)

Vladik Kreinovich, Songsak Sriboonchitta, Van-Nam Huynh

Series: Studies in Computational Intelligence, 692

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Loot Price R5,303 Discovery Miles 53 030 | Repayment Terms: R497 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Studies in Computational Intelligence, 692
Release date: February 2017
First published: 2017
Editors: Vladik Kreinovich • Songsak Sriboonchitta • Van-Nam Huynh
Dimensions: 235 x 155 x 38mm (L x W x T)
Format: Hardcover
Pages: 705
Edition: 1st ed. 2017
ISBN-13: 978-3-319-50741-5
Categories: Books > Business & Economics > Economics > Economic theory & philosophy
Books > Business & Economics > Economics > Econometrics > Economic statistics
Books > Science & Mathematics > Mathematics > Applied mathematics > General
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LSN: 3-319-50741-9
Barcode: 9783319507415

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