A handbook of statistical analyses using R / Torsten Hothorn and Brian S. Everitt.
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TextLanguage: English Publication details: Boca Raton : CRC Press, c2014. Edition: 2nd edDescription: xxix, 421 p. : ill. ; 24 cmISBN: 9781482204582; 1482204584Subject(s): Mathematical statistics -- Data processing -- Handbooks, manuals, etc | R (Computer program language) -- Handbooks, manuals, etcDDC classification: 519.502855133 Online resources: WorldCat details | Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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Dr. S. R. Lasker Library, EWU Reserve Section | Non-fiction | 519.502855133 HOH 2014 (Browse shelf(Opens below)) | C-1 | Not For Loan | 26485 | ||
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Dr. S. R. Lasker Library, EWU Reserve Section | Non-fiction | 519.502855133 HOH 2014 (Browse shelf(Opens below)) | C-2 | Not For Loan | 26486 | ||
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Dr. S. R. Lasker Library, EWU Circulation Section | Non-fiction | 519.502855133 HOH 2014 (Browse shelf(Opens below)) | C-3 | Available | 26487 |
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| 519.502855133 CRS 2015 Statistics : | 519.502855133 CRS 2015 Statistics : | 519.502855133 HOH 2014 A handbook of statistical analyses using R / | 519.502855133 HOH 2014 A handbook of statistical analyses using R / | 519.502855133 STA 2009 Statistical modelling in R / | 519.5028553 ONE 2014 One hundred nineteen stata tips / | 519.50285536 BEI 2013 Introduction to time series using Stata / |
"A Chapman & Hall book"--Cover.
Previous editions cataloged under main entry for Brian S. Everitt.
Includes bibliographical references and index.
TOC An introduction to R --
Data analysis using graphical displays --
Simple inference --
Conditional inference --
Analysis of variance --
Simple and multiple linear regression --
Logistic repression and generalised linear models --
Density estimation --
Recursive partitioning --
Scatterplot smoothers and addictive models --
Survival analysis --
Quantile regression --
Analyzing longitudinal data I --
Analyzing longitudinal data II --
Simultaneous inference and multiple comparisons --
Missing values --
Meta-analysis --
Bayesian interference --
Principal component analysis --
Multidimensional scaling --
Cluster analysis.
AS
Saifun Momota
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