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Da: Biblios, Frankfurt am main, HESSE, Germania
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Aggiungi al carrelloCondizione: New. pp. 256 Acknowledgements.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 83,62
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Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2014
ISBN 10: 1119952379 ISBN 13: 9781119952374
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Prima edizione
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.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 90,49
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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. . . . .
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 86,04
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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.
Da: moluna, Greven, Germania
EUR 86,02
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Aggiungi al carrelloCondizione: New. 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 an.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 88,46
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EUR 156,25
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Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2014
ISBN 10: 1119952379 ISBN 13: 9781119952374
Da: CitiRetail, Stevenage, Regno Unito
Prima edizione
EUR 113,90
Quantità: 1 disponibili
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.
Da: preigu, Osnabrück, Germania
EUR 95,75
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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.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 146,63
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Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2014
ISBN 10: 1119952379 ISBN 13: 9781119952374
Da: AussieBookSeller, Truganina, VIC, Australia
Prima edizione
EUR 160,06
Quantità: 1 disponibili
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.