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      Methodology in Robust and Nonparametric Statistics

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      SKU 9781439840689 Categories ,
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      Closely related to nonparametric methods, robust statistical methods are not unduly affected by data outliers or other small departures from model assumptions. This book presents a comprehensive overview of methodology for robust and nonparametric statistics. It covers both...

      £155.00

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      Description

      Product ID:9781439840689
      Product Form:Hardback
      Country of Manufacture:GB
      Title:Methodology in Robust and Nonparametric Statistics
      Authors:Author: Jan Picek, Pranab Sen, Jana Jureckova
      Page Count:410
      Subjects:Probability and statistics, Probability & statistics, Environmental science, engineering and technology, Environmental science, engineering & technology
      Description:Select Guide Rating

      Closely related to nonparametric methods, robust statistical methods are not unduly affected by data outliers or other small departures from model assumptions. This book presents a comprehensive overview of methodology for robust and nonparametric statistics. It covers both methods in parallel to demonstrate their relative strengths and weaknesses. Using examples to illustrate the methods, the text emphasizes applications in the fields of biomedical science, bioinformatics, finance, and engineering. The authors provide exercises in the text.


      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 Statistics provides a profound mathematically rigorous explanation of the methodology of robust and nonparametric statistical procedures.





      Thoroughly up-to-date, this book







      • Presents multivariate robust and nonparametric estimation with special emphasis on affine-equivariant procedures, followed by hypotheses testing and confidence sets


      • Keeps mathematical abstractions at bay while remaining largely theoretical


      • Provides a pool of basic mathematical tools used throughout the book in derivations of main results






      The methodology presented, with due emphasis on asymptotics and interrelations, will pave the way for further developments on robust statistical procedures in more complex models. Using examples to illustrate the methods, the text highlights applications in the fields of biomedical science, bioinformatics, finance, and engineering. In addition, the authors provide exercises in the text.


      Imprint Name:CRC Press Inc
      Publisher Name:Taylor & Francis Inc
      Country of Publication:GB
      Publishing Date:2012-07-20

      Additional information

      Weight754 g
      Dimensions240 × 164 × 28 mm