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Extending the Linear Model with R: Generalized

Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition by Julian J. Faraway

Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition



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Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition Julian J. Faraway ebook
ISBN: 9781498720960
Page: 417
Format: pdf
Publisher: Taylor & Francis


Linear Models with R, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) £50.40 Books on regression and the analysis of variance abound― many are introductory, many are theoretical. Boca Raton, FL: Chapman & Hall/CRC. Extending the Linear Model with R : Generalized Linear, Mixed Effects andNonparametric Regression Models , Chapman & Hall/CRC, 2005. Extending the Linear Model With R:Generalized Linear, Mixed Effects and Nonparametric Regression Models. Book Review: Faraway, Julian J. Extending the Linear Model with R : Generalized Linear, Mixed Effects and Nonparametric Regression Models. Boca Raton, FL: Applied regression analysis, linear models, and related models. Extending the Linear Model with R:Generalized Linear, Mixed Effects and An R and S-Plus Companion to AppliedRegression. Extending the linear model with R: Generalizedlinear, mixed effects, and nonparametric regression models. R acts as an alternative to traditional statistical packages such as SPSS, SAS, and Introductory Statistics with R (2nd edition).





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