Ebook Info
- Published: 2017
- Number of pages: 715 pages
- Format: PDF
- File Size: 10.33 MB
- Authors: Vladik Kreinovich
Description
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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Keywords
Free Download Robustness in Econometrics (Studies in Computational Intelligence Book 692) in PDF format
Robustness in Econometrics (Studies in Computational Intelligence Book 692) PDF Free Download
Download Robustness in Econometrics (Studies in Computational Intelligence Book 692) 2017 PDF Free
Robustness in Econometrics (Studies in Computational Intelligence Book 692) 2017 PDF Free Download
Download Robustness in Econometrics (Studies in Computational Intelligence Book 692) PDF
Free Download Ebook Robustness in Econometrics (Studies in Computational Intelligence Book 692)