Kloke john (27 risultati)

Lingua: Inglese
Editore: CRC Press 2014
Serie: Chapman & Hall/CRC The R, Libro 14 di 73. Libro 14 di 73 - Chapman & Hall/CRC The R
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Lingua: Inglese
Editore: Chapman and Hall/CRC 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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hardcover. Condizione: New. 2nd Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

Lingua: Inglese
Editore: Chapman and Hall/CRC 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC 2014
Serie: Chapman & Hall/CRC The R, Libro 14 di 73. Libro 14 di 73 - Chapman & Hall/CRC The R
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Da: Phatpocket Limited, Waltham Abbey, HERTS, Regno UnitoPhatpocket Limited
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Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Lingua: Inglese
Editore: Chapman and Hall/CRC 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. 2nd edition NO-PA16APR2015-KAP.

Lingua: Inglese
Editore: Chapman and Hall/CRC 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editore: Chapman and Hall/CRC 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Lingua: Inglese
Editore: Chapman and Hall/CRC 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Lingua: Inglese
Editore: Chapman and Hall/CRC 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Lingua: Inglese
Editore: Taylor & Francis Ltd 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Hardcover. Condizione: new. Hardcover. Praise for the first edition:This book would be especially good for the shelf of anyone who already knows nonparametrics, but wants a reference for how to apply those techniques in R.-The American StatisticianThis thoroughly updated and expanded second edition of Nonparametric Statistical M…ethods Using R covers traditional nonparametric methods and rank-based analyses. Two new chapters covering multivariate analyses and big data have been added. Core classical nonparametrics chapters on one- and two-sample problems have been expanded to include discussions on ties as well as power and sample size determination. Common machine learning topics --- including k-nearest neighbors and trees --- have also been included in this new edition.Key Features:Covers a wide range of models including location, linear regression, ANOVA-type, mixed models for cluster correlated data, nonlinear, and GEE-type.Includes robust methods for linear model analyses, big data, time-to-event analyses, timeseries, and multivariate.Numerous examples illustrate the methods and their computation.R packages are available for computation and datasets.Contains two completely new chapters on big data and multivariate analysis.The book is suitable for advanced undergraduate and graduate students in statistics and data science, and students of other majors with a solid background in statistical methods including regression and ANOVA. It will also be of use to researchers working with nonparametric and rank-based methods in practice. This thoroughly updated and expanded second edition covers traditional nonparametric methods and rank-based analyses. Two new chapters covering multivariate analyses and big data have been added. Core classical nonparametrics chapters on one- and two-sample problems have been expanded Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Lingua: Inglese
Editore: Chapman and Hall/CRC 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Lingua: Inglese
Editore: Taylor & Francis Ltd 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Lingua: Inglese
Editore: Chapman and Hall/CRC 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Lingua: Inglese
Editore: Crc Press 2024
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Hardcover. Condizione: New. ISBN:9780367651350.

Lingua: Inglese
Editore: Chapman and Hall/CRC 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: T&F/CRC PRESS 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman & Hall 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Taylor & Francis Ltd 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condizione: new. Hardcover. Praise for the first edition:This book would be especially good for the shelf of anyone who already knows nonparametrics, but wants a reference for how to apply those techniques in R.-The American StatisticianThis thoroughly updated and expanded second edition of Nonparametric Statistical M…ethods Using R covers traditional nonparametric methods and rank-based analyses. Two new chapters covering multivariate analyses and big data have been added. Core classical nonparametrics chapters on one- and two-sample problems have been expanded to include discussions on ties as well as power and sample size determination. Common machine learning topics --- including k-nearest neighbors and trees --- have also been included in this new edition.Key Features:Covers a wide range of models including location, linear regression, ANOVA-type, mixed models for cluster correlated data, nonlinear, and GEE-type.Includes robust methods for linear model analyses, big data, time-to-event analyses, timeseries, and multivariate.Numerous examples illustrate the methods and their computation.R packages are available for computation and datasets.Contains two completely new chapters on big data and multivariate analysis.The book is suitable for advanced undergraduate and graduate students in statistics and data science, and students of other majors with a solid background in statistical methods including regression and ANOVA. It will also be of use to researchers working with nonparametric and rank-based methods in practice. This thoroughly updated and expanded second edition covers traditional nonparametric methods and rank-based analyses. Two new chapters covering multivariate analyses and big data have been added. Core classical nonparametrics chapters on one- and two-sample problems have been expanded Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Lingua: Inglese
Editore: CRC Press 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Praise for the first edition:'This book would be especially good for the shelf of anyone who already knows nonparametrics, but wants a reference for how to apply those techniques in R.'-The American StatisticianThis thoroughly updated and… expanded second edition of Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses. Two new chapters covering multivariate analyses and big data have been added. Core classical nonparametrics chapters on one- and two-sample problems have been expanded to include discussions on ties as well as power and sample size determination. Common machine learning topics --- including k-nearest neighbors and trees --- have also been included in this new edition.Key Features:Covers a wide range of models including location, linear regression, ANOVA-type, mixed models for cluster correlated data, nonlinear, and GEE-type.Includes robust methods for linear model analyses, big data, time-to-event analyses, timeseries, and multivariate.Numerous examples illustrate the methods and their computation.R packages are available for computation and datasets.Contains two completely new chapters on big data and multivariate analysis.The book is suitable for advanced undergraduate and graduate students in statistics and data science, and students of other majors with a solid background in statistical methods including regression and ANOVA. It will also be of use to researchers working with nonparametric and rank-based methods in practice. 466 pp. Englisch.

Lingua: Inglese
Editore: CRC Press 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. John D. Kloke is a bit of a jack-of-all-trades as he has worked as a clinical trial statistician supporting industry as well as academic studies and he also served as a teacher-scholar at several academic institution…s. He has held faculty position.

Lingua: Inglese
Editore: Chapman And Hall/CRC 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 104 di 59. Libro 104 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Praise for the first edition:'This book would be especially good for the shelf of anyone who already knows nonparametrics, but wants a reference for how to apply those techniques in R.'-The American StatisticianThis thoroughly updated and expa…nded second edition of Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses. Two new chapters covering multivariate analyses and big data have been added. Core classical nonparametrics chapters on one- and two-sample problems have been expanded to include discussions on ties as well as power and sample size determination. Common machine learning topics --- including k-nearest neighbors and trees --- have also been included in this new edition.Key Features:Covers a wide range of models including location, linear regression, ANOVA-type, mixed models for cluster correlated data, nonlinear, and GEE-type.Includes robust methods for linear model analyses, big data, time-to-event analyses, timeseries, and multivariate.Numerous examples illustrate the methods and their computation.R packages are available for computation and datasets.Contains two completely new chapters on big data and multivariate analysis.The book is suitable for advanced undergraduate and graduate students in statistics and data science, and students of other majors with a solid background in statistical methods including regression and ANOVA. It will also be of use to researchers working with nonparametric and rank-based methods in practice.