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Nonparametric statistical methods using R /
A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear mode...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton :
CRC Press, Taylor & Francis,
[2015]
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| Colección: | Chapman & Hall/CRC the R series (CRC Press)
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Kloke, John, |e author. | |
| 245 | 1 | 0 | |a Nonparametric statistical methods using R / |c John Kloke, University of Wisconsin, Madison, WI, USA, Joseph W. McKean, Western Michigan University, Kalamazoo, MI, USA. |
| 264 | 1 | |a Boca Raton : |b CRC Press, Taylor & Francis, |c [2015] | |
| 264 | 4 | |c ©2015 | |
| 300 | |a 1 online resource (xv, 271 pages) : |b illustrations | ||
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
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| 490 | 1 | |a Chapman & Hall/CRC the R series | |
| 500 | |a "A Chapman & Hall book." | ||
| 504 | |a Includes bibliographical references (pages 255-263) and index. | ||
| 505 | 0 | |a Getting started with R -- Basic statistics -- Two-sample problems -- Regression I -- ANOVA and ANCOVA -- Time to event analysis -- Regression II -- Cluster correlated data. | |
| 520 | |a A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses. The authors emphasize applications and statistical computation. They illustrate the methods with many real and simulated data examples using R, including the packages Rfit and npsm. The book first gives an overview of the R language and basic statistical concepts before discussing nonparametrics. It presents rank-based methods for one- and two-sample problems, procedures for regression models, computation for general fixed-effects ANOVA and ANCOVA models, and time-to-event analyses. The last two chapters cover more advanced material, including high breakdown fits for general regression models and rank-based inference for cluster correlated data. The book can be used as a primary text or supplement in a course on applied nonparametric or robust procedures and as a reference for researchers who need to implement nonparametric and rank-based methods in practice. Through numerous examples, it shows readers how to apply these methods using R. |c provider's description | ||
| 546 | |a English. | ||
| 588 | 0 | |a Print version record. | |
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| 650 | 0 | |a Nonparametric statistics. | |
| 650 | 0 | |a R (Computer program language) | |
| 650 | 6 | |a Statistique non paramétrique. | |
| 650 | 6 | |a R (Langage de programmation) | |
| 650 | 7 | |a MATHEMATICS |x Applied. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a Nonparametric statistics |2 fast | |
| 650 | 7 | |a R (Computer program language) |2 fast | |
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| 700 | 1 | |a McKean, Joseph W., |d 1944- |e author. | |
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| 830 | 0 | |a Chapman & Hall/CRC the R series (CRC Press) | |
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