Modern regression techniques using R : a practical guide for students and researchers / Daniel B. Wright and Kamala London.

Author
Wright, Daniel B. [Browse]
Format
Book
Language
English
Published/​Created
Los Angeles ; London : SAGE, 2009.
Description
viii, 204 pages : illustrations ; 25 cm

Availability

Copies in the Library

Location Call Number Status Location Service Notes
Lewis Library - Stacks HA31.3 .W753 2009 Browse related items Request

    Details

    Subject(s)
    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.
    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. Read more...
    Other views
    Staff view