Robustness in Econometrics
. Ed(S): Kreinovich, Vladik; Sriboonchitta, Songsak; Huynh, Van-Nam
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Description for Robustness in Econometrics
Hardback. Presenting recent research on robustness in econometrics, this book focuses robust data processing techniques that yield results minimally affected by outliers and their applications to real-life economic and financial situations. It also discusses applications of more traditional statistical techniques to econometric problems. Editor(s): Kreinovich, Vladik; Sriboonchitta, Songsak; Huynh, Van-Nam. Series: Studies in Computational Intelligence. Num Pages: 705 pages, 9 black & white illustrations, 120 colour illustrations, biography. BIC Classification: KCA; KCHS; PBW. Category: (P) Professional & Vocational. Dimension: 235 x 155. Weight in Grams: 1232.
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., ... Read more
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., ... Read more
Product Details
Format
Hardback
Publication date
2017
Publisher
Springer International Publishing AG Switzerland
Number of pages
705
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
705
Place of Publication
Cham, Switzerland
ISBN
9783319507415
SKU
V9783319507415
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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