Modern Regression Techniques Using R : a Practical Guide.
Statistics is the language of modern empirical social and behavioural science and the varieties of regression form the basis of this language. Statistical and computing advances have led to new and exciting regressions that have become the necessary tools for any researcher in these fields. In a way...
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| Format: | eBook |
| Language: | English |
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London :
Sage Publications,
2009.
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| Subjects: |
MARC
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| 100 | 1 | |a Wright, Daniel B. | |
| 245 | 1 | 0 | |a Modern Regression Techniques Using R : |b a Practical Guide. |
| 260 | |a London : |b Sage Publications, |c 2009. | ||
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| 505 | 0 | |a Cover; Contents; Preface; 1 Very brief introduction to R; 2 The basic 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; Glossary of R functions used in this book; References; Index. | |
| 520 | |a Statistics is the language of modern empirical social and behavioural science and the varieties of regression form the basis of this language. Statistical and computing advances have led to new and exciting regressions that have become the necessary tools for any researcher in these fields. In a way that is refreshingly engaging and readable, Wright and London describe the most useful of these techniques and provide step-by-step instructions, using the freeware R, to analyze datasets that can be located on the books' webpage: www.sagepub.co.uk//wrightandlondon. Techniques covered in this book. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Regression analysis. | |
| 650 | 0 | |a R (Computer program language) | |
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