Nonparametric statistical methods using R / John Kloke and Joseph W. McKean.
Material type:
TextSeries: Chapman & Hall/CRC the R seriesPublication details: Boca Raton : CRC Press, 2015.Description: xv, 271 p. : illustrations ; 25 cmISBN: - 9781439873434 (hardcover : alk. paper)
- 000SA.12 23 K66
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.12 K66 (Browse shelf(Opens below)) | Available | 136339 |
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| 000SA.12 H737 Nonparametric statistical methods. | 000SA.12 H737 Nonparametric statistical methods. | 000SA.12 J61 Nonparametric statistical methods and related topics : | 000SA.12 K66 Nonparametric statistical methods using R / | 000SA.12 K84 Nonparametric methods in statistics with SAS applications / | 000SA.12 L523 Nonparametrics | 000SA.12 L754 Nonparametric statistics for applied research / |
Includes bibliographical references and index.
1. Getting started with R --
2. Basic statistics --
3. Two-sample problems --
4. Regression I --
5. ANOVA and ANCOVA --
6. Time to event analysis --
7. Regression II --
8. Cluster correlated data--
Bibliography--
Index.
This book 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.
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