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

By: Hothorn, TorstenContributor(s): Everitt, Brian SMaterial type: TextTextLanguage: 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
Contents:
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.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
Text Text EWU Library
Reserve Section
Non-fiction 519.502855133 HOH 2014 (Browse shelf(Opens below)) C-1 Not For Loan 26485
Text Text EWU Library
Reserve Section
Non-fiction 519.502855133 HOH 2014 (Browse shelf(Opens below)) C-2 Not For Loan 26486
Text Text EWU Library
Circulation Section
Non-fiction 519.502855133 HOH 2014 (Browse shelf(Opens below)) C-3 Available 26487
Total holds: 0

"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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