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Academic & Professional Books  Reference  Data Analysis & Modelling  Data Analysis & Statistics

Modern Regression Techniques Using R A Practical Guide

Handbook / Manual
By: Kamala London and Daniel B Wright
Modern Regression Techniques Using R
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  • Modern Regression Techniques Using R ISBN: 9781847879035 Paperback Feb 2009 Usually dispatched within 1-2 weeks
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About this book Contents Customer reviews Related titles

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.

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

Customer Reviews

Handbook / Manual
By: Kamala London and Daniel B Wright
Media reviews
'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
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