Mathematics Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Texts in Statistical Science) (158488424X)

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Author: Julian J. Faraway

Publisher: Chapman & Hall/CRC (2005)

Binding: Hardcover, 312 pages

pricer: $89.95

ISBN-10: 158488424X

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Linear models are central to the practice of statistics and form the foundation of a vast range of statistical methodologies. Julian J. Faraway's critically acclaimed Linear Models with R examined regression and analysis of variance, demonstrated the different methods available, and showed in which situations each one applies. Following in those footsteps, Extending the Linear Model with R surveys the techniques that grow from the regression model, presenting three extensions to that framework: generalized linear models (GLMs), mixed effect models, and nonparametric regression models. The author's treatment is thoroughly modern and covers topics that include GLM diagnostics, generalized linear mixed models, trees, and even the use of neural networks in statistics. To demonstrate the interplay of theory and practice, throughout the book the author weaves the use of the R software environment to analyze the data of real examples, providing all of the R commands necessary to reproduce the analyses. A supporting Web site at Buy Book at Lowest Price on Amazon

holds all of the data described in the book. Statisticians need to be familiar with a broad range of ideas and techniques. This book provides a well-stocked toolbox of methodologies, and with its unique presentation of these very modern statistical techniques, holds the potential to break new ground in the way graduate-level courses in this area are taught.

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	Science/Engineering Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Texts in Statistical Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Texts in Statistical Science)Chapman & Hall/CRC \| ISBN: 158488424X \| 2005-12-20 \| PDF \| 312 pages \| 8 Mb Linear models are central ...
	Science/Engineering Generalized, Linear, and Mixed Models (Wiley Series in Probability and Statistics) Charles E. McCulloch Shayle R. Searle, "Generalized, Linear, and Mixed Models (Wiley Series in Probability and Statistics)"Wiley-Interscience \| 2001-01-01 \| ISBN: 047119364X \| 358 pages \| PDF \| 11,2 MBThe availability of powerful computi ...
	Science/Engineering Linear And Nonlinear Models: Fixed Effects, Random Effects, And Mixed Models (Repost) Erik W. Grafarend, "Linear And Nonlinear Models: Fixed Effects, Random Effects, And Mixed Models" Walter de Gruyter 2006 \| ISBN:3110162164 \| 752 pages \| PDF \| 4,4 MB This monograph contains a thorough treatment of methods for solving ove ...
	Study Linear Models with R (Texts in Statistical Science) Julian J. Faraway "Linear Models with R (Texts in Statistical Science)"Chapman & Hall/CRC \| English \| 2004-07-26 \| ISBN: 1584884258 \| 240 pages \| PDF \| 4,2 MBThis textbook focuses on the practice of regression and analysis of variance. ...
	Software Related Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models Author: Julian J. FarawayPublisher: Chapman & Hall/CRC; 1 editionPublish Date: December 20, 2005ISBN: 158488424XPages: 312Linear models are central to the practice of statistics and form the foundation of a vast range of statistical met ...
	Science/Engineering Applied Regression Analysis and Generalized Linear Models Author: John Fox (Author)Publisher: Sage Publications, Inc; 2nd edition (April 16, 2008)Publish Date: 2008ISBN: 0761930426Pages: 688Product Description Combining a modern, data-analytic perspective with a focus on applications in the social ...

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	Science/Engineering Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Texts in Statistical Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Texts in Statistical Science)Chapman & Hall/CRC \| ISBN: 158488424X \| 2005-12-20 \| PDF \| 312 pages \| 8 Mb Linear models are central ...
	Science/Engineering Generalized, Linear, and Mixed Models (Wiley Series in Probability and Statistics) Charles E. McCulloch Shayle R. Searle, "Generalized, Linear, and Mixed Models (Wiley Series in Probability and Statistics)"Wiley-Interscience \| 2001-01-01 \| ISBN: 047119364X \| 358 pages \| PDF \| 11,2 MBThe availability of powerful computi ...
	Science/Engineering Linear And Nonlinear Models: Fixed Effects, Random Effects, And Mixed Models (Repost) Erik W. Grafarend, "Linear And Nonlinear Models: Fixed Effects, Random Effects, And Mixed Models" Walter de Gruyter 2006 \| ISBN:3110162164 \| 752 pages \| PDF \| 4,4 MB This monograph contains a thorough treatment of methods for solving ove ...
	Study Linear Models with R (Texts in Statistical Science) Julian J. Faraway "Linear Models with R (Texts in Statistical Science)"Chapman & Hall/CRC \| English \| 2004-07-26 \| ISBN: 1584884258 \| 240 pages \| PDF \| 4,2 MBThis textbook focuses on the practice of regression and analysis of variance. ...
	Software Related Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models Author: Julian J. FarawayPublisher: Chapman & Hall/CRC; 1 editionPublish Date: December 20, 2005ISBN: 158488424XPages: 312Linear models are central to the practice of statistics and form the foundation of a vast range of statistical met ...
	Science/Engineering Applied Regression Analysis and Generalized Linear Models Author: John Fox (Author)Publisher: Sage Publications, Inc; 2nd edition (April 16, 2008)Publish Date: 2008ISBN: 0761930426Pages: 688Product Description Combining a modern, data-analytic perspective with a focus on applications in the social ...

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