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A handbook of statistical analyses using R / Torsten Hothorn and Brian S. Everitt.

By: Hothorn, Torsten.
Contributor(s): Everitt, Brian S.
Material type: TextTextPublisher: Boca Raton : CRC Press, c2014Edition: 2nd ed.Description: xxix, 421 p. : ill. ; 24 cm.ISBN: 9781482204582; 1482204584.Subject(s): Mathematical statistics -- Data processing -- Handbooks, manuals, etc | R (Computer program language) -- Handbooks, manuals, etcDDC classification: 519.502855133 Online resources: WorldCat details
Contents:
Table of contents 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.
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Text Text EWU Library
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Non-fiction 519.502855133 HOH 2014 (Browse shelf) C-1 Not For Loan 26485
Text Text EWU Library
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Non-fiction 519.502855133 HOH 2014 (Browse shelf) C-2 Not For Loan 26486
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Non-fiction 519.502855133 HOH 2014 (Browse shelf) 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.

Table of contents 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.

Applied Statistics

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