Methodology in Robust and Nonparametric Statistics.
Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from biomedical sciences to the public health disciplines, and, more recently, in genomics, bioinformatics, and financial statistics. These disciplines are presently nourished...
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| Format: | eBook |
| Language: | English |
| Published: |
Hoboken :
CRC Press,
2012.
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from biomedical sciences to the public health disciplines, and, more recently, in genomics, bioinformatics, and financial statistics. These disciplines are presently nourished by data mining and high-level computer-based algorithms, but to work actively with robust and nonparametric procedures, practitioners need to understand their background. Explaining the underpinnings of robust methods and recent theoretical developments, Methodology in Robust and Nonparametric Stat. |
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| Physical Description: | 1 online resource (401 pages) |
| Bibliography: | Includes bibliographical references (pages 357-384). |
| ISBN: | 9781439840696 1439840695 9781439840689 1439840687 9781299992702 1299992706 |