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9781119952374 - Nonparametric Hypothesis Testing: Rank and Permutation Methods With Applications in R di Bonnini, Stefano; Corain, Livio; Marozzi, Marco; Salmaso, Luigi (28 risultati)
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Nonparametric Hypothesis Testing : Rank and Permutation Methods With Applications in R
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Nonparametric Hypothesis Testing: Rank And Permutation Methods With Applications In R (Hb 2014)
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Nonparametric Hypothesis Testing: Rank And Permutation Methods With Applications In R (Hb 2014)
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Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R (Wiley Series in Probability and Statistics)
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Nonparametric Hypotheses Testing with R - Rank: Tests and Permutation Tests Format: Hardcover
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Nonparametric Hypothesis Testing - Rank and Permutation Methods with Applications in R
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Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R (Wiley Series in Probability and Statistics)
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Nonparametric Hypothesis Testing : Rank and Permutation Methods With Applications in R
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Nonparametric Hypothesis Testing: Rank And Permutation Methods With Applications In R
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Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R (Wiley Series in Probability and Statistics)
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Nonparametric Hypothesis Testing : Rank and Permutation Methods With Applications in R
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Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R (Wiley Series in Probability and Statistics)
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Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R: 966 (Wiley Series in Probability and Statistics)
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Nonparametric Hypothesis Testing (Hardcover)
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Hardcover. Condizione: new. Hardcover. 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. This book summarizes traditional rank techniques and more recent developments in permutation testing as robust tools for dealing with complex data with low sample size. Key Features: Examines the most widely used methodologies of nonparametric testing.Includes extensive software codes in R featuring worked examples, and uses real case studies from both experimental and observational studies.Presents and discusses solutions to the most important and frequently encountered real problems in different fields. Features a supporting website _testing) containing all of the data sets examined in the book along with ready to use R software codes. Nonparametric Hypothesis Testing 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Nonparametric Hypothesis Testing : Rank and Permutation Methods With Applications in R
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Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R
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Aggiungi al carrelloCondizione: New. 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. . 2014. 1st Edition. Hardcover. . . . .
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Nonparametric Hypothesis Testing Rank and Permutation Methods with Applications in R
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Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R
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Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R (Wiley Series in Probability and Statistics)
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Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R
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Condizione: New. 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. . 2014. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
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Nonparametric Hypothesis Testing : Rank and Permutation Methods with Applications in R
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Nonparametric Hypothesis Testing (Hardcover)
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. 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. This book summarizes traditional rank techniques and more recent developments in permutation testing as robust tools for dealing with complex data with low sample size. Key Features: Examines the most widely used methodologies of nonparametric testing.Includes extensive software codes in R featuring worked examples, and uses real case studies from both experimental and observational studies.Presents and discusses solutions to the most important and frequently encountered real problems in different fields. Features a supporting website _testing) containing all of the data sets examined in the book along with ready to use R software codes. Nonparametric Hypothesis Testing 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R (Wiley Series in Probability and Statistics)
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Edizione InternazionaleNONPARAMETRIC HYPOTHESIS TESTING RANK AND PERMUTATION METHODS WITH APPLICATIONS IN R (HB 2014)
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Nonparametric Hypothesis Testing | Rank and Permutation Methods with Applications in R
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Aggiungi al carrelloBuch. Condizione: Neu. Nonparametric Hypothesis Testing | Rank and Permutation Methods with Applications in R | Stefano Bonnini (u. a.) | Buch | 256 S. | Englisch | 2014 | Wiley | EAN 9781119952374 | Verantwortliche Person für die EU: Wiley-VCH GmbH, Boschstr. 12, 69469 Weinheim, product-safety[at]wiley[dot]com | Anbieter: preigu.
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Nonparametric Hypothesis Testing (Hardcover)
Libro 267 di 358: Wiley Series in Probability and StatisticsLingua: Inglese
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. 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. This book summarizes traditional rank techniques and more recent developments in permutation testing as robust tools for dealing with complex data with low sample size. Key Features: Examines the most widely used methodologies of nonparametric testing.Includes extensive software codes in R featuring worked examples, and uses real case studies from both experimental and observational studies.Presents and discusses solutions to the most important and frequently encountered real problems in different fields. Features a supporting website _testing) containing all of the data sets examined in the book along with ready to use R software codes. Nonparametric Hypothesis Testing 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
