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Nonparametric Statistical Methods Using by Kloke John (32 results)
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Condition: Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects.
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Nonparametric Statistical Methods Using R (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2014
ISBN 10: 1439873437 ISBN 13: 9781439873434
Language: English
Condition: good. Has a sturdy binding with some shelf wear. May have some markings or highlighting. Used copies may not include access codes or Cd's. Slight bending may be present.
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Nonparametric Statistical Methods Using R (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367651351 ISBN 13: 9780367651350
Language: English
hardcover. Condition: New. 2nd Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Nonparametric Statistical Methods Using R (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367651351 ISBN 13: 9780367651350
Language: English
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Nonparametric Statistical Methods Using R (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367651351 ISBN 13: 9780367651350
Language: English
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Nonparametric Statistical Methods Using R (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367651351 ISBN 13: 9780367651350
Language: English
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Nonparametric Statistical Methods Using R
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367651351 ISBN 13: 9780367651350
Language: English
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Nonparametric Statistical Methods Using R (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367651351 ISBN 13: 9780367651350
Language: English
Condition: New. 2nd edition NO-PA16APR2015-KAP.
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Nonparametric Statistical Methods Using R (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2014
ISBN 10: 1439873437 ISBN 13: 9781439873434
Language: English
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Add to basketCondition: 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.
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Nonparametric Statistical Methods Using R
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367651351 ISBN 13: 9780367651350
Language: English
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Nonparametric Statistical Methods Using R (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367651351 ISBN 13: 9780367651350
Language: English
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Nonparametric Statistical Methods Using R (Chapman & Hall Crc Texts In Statistical Science)
Published by Crc Press
Language: English
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Nonparametric Statistical Methods Using R (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367651351 ISBN 13: 9780367651350
Language: English
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Nonparametric Statistical Methods Using R (Hardcover)
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367651351 ISBN 13: 9780367651350
Language: English
Hardcover. Condition: 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 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. 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.
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Nonparametric Statistical Methods Using R
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367651351 ISBN 13: 9780367651350
Language: English
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days. 784.
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Nonparametric Statistical Methods Using R
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367651351 ISBN 13: 9780367651350
Language: English
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Nonparametric Statistical Methods Using R (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367651351 ISBN 13: 9780367651350
Language: English
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Nonparametric Statistical Methods Using R
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367651351 ISBN 13: 9780367651350
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Nonparametric Statistical Methods Using R (Chapman Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2014
ISBN 10: 1439873437 ISBN 13: 9781439873434
Language: English
Hardcover. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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US$ 139.65
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Add to basketHardcover. Condition: New. Brand New! Fast Delivery US Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Hardcover. Condition: Brand New. Brand New! Fast Delivery, Delivery within 7-12 working Day Only, USA Edition Original Edition. Excellent Quality, Printing in English Language, Quick delivery by FEDEX & DHL. USPS & UPS Act. Our courier service is not available at PO BOX& APO BOX. Ship from India & United States.
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Nonparametric Statistical Methods Using R
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367651351 ISBN 13: 9780367651350
Language: English
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Nonparametric Statistical Methods Using R (Hardcover)
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367651351 ISBN 13: 9780367651350
Language: English
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Add to basketHardcover. Condition: 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 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. 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.
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Add to basketHardcover. Condition: Brand New. 2nd edition. 480 pages. 9.19x6.13x9.21 inches. In Stock.
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Nonparametric Statistical Methods Using R
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367651351 ISBN 13: 9780367651350
Language: English
Condition: New.
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Nonparametric Statistical Methods Using R (Hardcover)
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367651351 ISBN 13: 9780367651350
Language: English
US$ 125.65
Convert currencyUS$ 50.16 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: 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 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. 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 UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Add to basketHardcover. Condition: Brand New. 2nd edition. 480 pages. 9.19x6.13x9.21 inches. In Stock. This item is printed on demand.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Nonparametric Statistical Methods Using R
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Nonparametric Statistical Methods Using R
Published by Taylor & Francis Ltd (Sales) Mai 2024, 2024
ISBN 10: 0367651351 ISBN 13: 9780367651350
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketBuch. Condition: 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. 480 pp. Englisch.
