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Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R
Stefano Bonnini
€ 91.55
€ 87.33
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Description for Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R
Hardback. A novel presentation of rank and permutation tests, with accessible guidance to applications in R Nonparametric testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. Series: Wiley Series in Probability and Statistics. Num Pages: 256 pages, black & white illustrations, black & white tables, figures. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 237 x 150 x 17. Weight in Grams: 470.
A novel presentation of rank and permutation tests, with accessible guidance to applications in R
Read moreNonparametric testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. This book summarizes traditional rank techniques and more recent developments in permutation testing as robust tools for dealing with complex data with low sample...
Product Details
Format
Hardback
Publication date
2014
Publisher
John Wiley & Sons Inc United States
Number of pages
256
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
256
Place of Publication
New York, United States
ISBN
9781119952374
SKU
V9781119952374
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Stefano Bonnini
Stefano Bonnini, Assistant Professor of Statistics, Faculty of Economics, Department of Economics, University of Ferrara, Italy. Livio Corain, Assistant Professor of Statistics, Faculty of Engineering, Department of Management and Engineering, University of Padova, Italy. Marco Marozzi, Associate Professor of Statistics, Faculty of Economics, Department of Economics and Statistics, University of Calabria, Italy. Luigi Salmaso, Full Professor of Statistics, Faculty of...
Read moreReviews for Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R
“The book combines an up to date overview with useful practical guidance to applications in R, and will be a valuable resource for practitioners and researchers working in a wide range of scientific fields including engineering, biostatistics, psychology and medicine.” (Zentralblatt MATH, 1 October 2014)