Nonparametric Statistical Methods Using R (ePub)

Name: Nonparametric Statistical Methods Using R
Brand: Taylor & Francis
SKU: 153634465
Price: 90.90 CHF
Availability: OnlineOnly

(Sprache: Englisch)

Autoren: John Kloke , Joseph McKean

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Nonparametric Statistical Methods Using R, John Kloke, Joseph McKean

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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

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Erscheint am 20.05.2024

Bestellnummer: 153634465

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Autoren-Porträt von John Kloke, Joseph McKean

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 institutions. He has held faculty positions at the University of California - Santa Barbara, University of Wisconsin - Madison, University of Pittsburgh, Bucknell University, and Pomona College. An early adopter of R, he is an author and maintainer of numerous R packages, including Rfit and npsm. He has published papers on nonparametric rank-based estimation, including analysis of cluster correlated data.

Joseph W. McKean is a professor emeritus of statistics at Western Michigan University. He has published many papers on nonparametric and robust statistical procedures and has co-authored several books, including Robust Nonparametric Statistical Methods and Introduction to Mathematical Statistics. He co-edited the book Robust Rank-Based and Nonparametric Methods. He served as an associate editor of several statistics journals and is a fellow of the American Statistical Association.

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Autoren: John Kloke , Joseph McKean
2024, 2. Auflage, 480 Seiten, Englisch
Verlag: Taylor & Francis
ISBN-10: 104002517X
ISBN-13: 9781040025178
Erscheinungsdatum: 20.05.2024

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Dateiformat: ePub
Grösse: 4.40 MB
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Englisch

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