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Extending the linear model with R : generalized linear, mixed effects and nonparametric regression modelsFaraway, Julian JamesLinear models form the foundation of a vast range of statistical methodologies. Julian J. Faraway's critically acclaimed Linear Models with R thoroughly examined the different methods available, and ... showed in which situations each one applies. Following in those footsteps, his new book surveys the techniques that grow from the regression model, presenting three extensions to that framework: generalized linear models, mixed effect models, and nonparametric regression models. It 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.Type of material - textbookPublication and manufacture - Boca Raton [etc.] : Chapman & Hall/CRC, cop. 2006Language - englishISBN - 1-58488-424-XCOBISS.SI-ID - 16397798
Author
Faraway, Julian James
Topics
Analysis of variance |
Regression analysis |
R (Computer program language) |
Mathematical models |
statistika |
matematična statistika |
matematični modeli |
linearni modeli |
analiza variance |
regresijske analize |
nevronske mreže |
modeli |
statistics |
mathematical statistics |
mathematical models |
linear models |
analysis of variance |
regression analysis |
neural networks |
models |
models
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Nacionalni inštitut za biologijo 0000000031 FARAWAY J. J. Extending IN: 0027425 Nacionalni inštitut za biologijo 31 FARAWAY J. J. Extending IN: 0027425 |
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