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Modern regression techniques using R : a practical guide for students and researchers / Daniel B. Wright and Kamala London.
Author
Wright, Daniel B.
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Format
Book
Language
English
Published/Created
Los Angeles ; London : SAGE, 2009.
Description
viii, 204 pages : illustrations ; 25 cm
Availability
Available Online
Ebook Central Perpetual, DDA and Subscription Titles
SAGE Research Methods Core
Copies in the Library
Location
Call Number
Status
Location Service
Notes
Lewis Library - Stacks
HA31.3 .W753 2009
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Details
Subject(s)
Regression analysis
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Social sciences
—
Statistical methods
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Free computer software
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Related name
London, Kamala
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Summary note
This book is divided into ten chapters. First, it explains the most basic basics of R, but point readers to where they can find more details. Next, it gives an overview of what is called the basic regression and then briefly describe each of the extensions. Then it goes through the seven extensions, and finish with a conclusion. Each of these chapters includes a description and then goes through the analysis of some data.
Bibliographic references
Includes bibliographical references (p. [196]-201) and index.
Contents
1. Very brief introduction to R
2. basil: regression
3. ANOVA as regression
4. ANCOVA: Lord's paradox and mediation analysis
5. Model selection and shrinkage
6. Generalized linear models (GLMs)
7. Regression splines and generalized additive models (GAMs)
8. Multilevel models
9. Robust regression
10. Conclusion
make your data cool.
Show 8 more Contents items
ISBN
1847879020 ((hbk.))
9781847879028 ((hbk.))
1847879039 ((pbk.))
9781847879035 ((pbk.))
LCCN
2008926086
OCLC
228363123
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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Modern regression techniques using R : a practical guide for students and researchers / Daniel B. Wright and Kamala London.
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99125355450306421