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Modern Regression Techniques Using R: A Practical Guide

Handbook / Manual

By: Kamala London and Daniel B Wright

Sage Publications

Paperback | Feb 2009 | #188218 | ISBN-13: 9781847879035
Availability: Usually dispatched within 1 week Details
NHBS Price: £18.99 $25/€22 approx

About this book

This book includes details of multilevel modeling, ANOVA and ANCOVA, path analysis, mediation and moderation, logistic regression (generalized linear models), generalized additive models, and robust methods. These are all tested out using a range of real research examples conducted by the authors in every chapter.

'An impressive resource for lecturers and researchers in a relatively slim text. I particularly like the way it rapidly builds on basic regression models to introduce genuinely advanced and cutting edge techniques. It is also very useful that the examples are implemented in the free, cross-platform statistical software environment R' - Dr Thom Baguley, Psychology, Nottingham Trent University


Contents

Very Brief Introduction to R Very brief introduction to R The basic regression ANOVA as regression ANCOVA: Lord's paradox and mediation analysis Model selection and shrinkage Generalized linear models (GLMs) Regression splines and generalized additive models (GAMs) Multilevel models Robust regression Conclusion - make your data cool

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