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

Faraway, Julian J.

ISBN 10: 158488424X / ISBN 13: 9781584884248

Published by CRC Press, 2005

Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 1.28. Seller Inventory # G158488424XI2N00

Synopsis:

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...

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Review:

"This is a very pleasant book to read. It clearly demonstrates the different methods available and in which situations each one applies. It covers almost all of the standard topics beyond linear models that a graduate student in statistics should know. It also includes discussion of topics such as model diagnostics, rarely addressed in books of this type. The presentation incorporates an abundance of well-chosen examples ... In summary, this is book is highly recommended..."
-Biometrics, December 2006

"I enjoyed this text as much as the first one. The book is recommended as a textbook for a computational statistical and data mining course including GLMs and non-parametric regression, and will also be of great value to the applied statistician whose statistical programming environment of choice is R."
–Giovanni Montana, Imperial College, Journal of Applied Statistics, July 2007, Vol. 34, No. 5

". . . well-written and the discussions are easy to follow . . . very useful as a reference book for applied statisticians and would also serve well as a textbook for students graduating in statistics."
–Andreas Rosenblad, Uppsala University, Computational Statistics, April 2009, Vol. 24

"The text is well organized and carefully written . . . provides an overview of many modern statistical methodologies and their applications to real data using software. This makes it a useful text for practitioners and graduate students alike."
–Colin Gallagher, Clemson University, Journal of the American Statistical Association, December 2007, Vol. 102, No. 480

"It provides a well-stocked toolbook of methodologies, and with its unique presentation on these very modern statistical techniques, holds the potential to break new ground in the way graduate-level courses in this area are taught."
–János Sztrik, Zentralblatt Math, 2006, Vol. 1095, No. 21

Bibliographic Details

Title: Extending the Linear Model with R: ...
Publisher: CRC Press
Publication Date: 2005
Binding: Hardcover
Condition: As New
Dust Jacket Condition: No Jacket