Although uptake of robust methods has been slow, modern mainstream statistics text books often include discussion of these methods (for example, the books by Seber and Lee, and by Faraway; for a good general description of how the various robust regression methods developed from one another see Andersen's book).
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Author : Robert Andersen Geared towards both future and practising social scientists, this book takes an applied approach and offers readers empirical examples to illustrate key concepts. It includes: applied coverage of a topic that has traditionally been discussed from a theoretical standpoint; empirical examples to illustrate key concepts; a web appendix that provides readers with the data and the R-code for the examples used in the book.
ISBN : 9781412940726 Genre : Social Science File Size : 53.35 MB Format : PDF, Mobi Download : 616 Read : 586
`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
Nice compact format. Recommended only for advanced courses in econometrics as some topics are presented but not explained (e.g. diagnostic plots in chapter 'Basic regression'.
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The book is an invaluable resource for those students wanting to learn more about R and advanced statistics techniques.
In our University, at the Department of Sociology we have recently started to shift our statistics classes from SPSS-centric to R-philosophy. In this respect, R-based books that treat commonly used techniques like regression are most welcomed resources, as it is not only the students' training that we need to change, but most frequently our colleagues' misperceptions due to practice over the years.
Department of Sociology and Social Work, University of Bucharest
It seems like a very good text for an introductory course, and I am going to recommend that students use it as a supplemental test and see how well they do.
Dept of Political Science, University of Dublin Trinity College
I pushed for using R in the course, but was not allowed to make change (we are sticking with Excel as data analysis tool.)
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Good book with great examples!
Business Administration, Metropolitan State University
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