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Extending the Linear Model with R - Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition (Hardcover, 2nd edition)
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Extending the Linear Model with R - Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition (Hardcover, 2nd edition)
Series: Chapman & Hall/CRC Texts in Statistical Science
Expected to ship within 9 - 15 working days
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Start Analyzing a Wide Range of Problems Since the publication of
the bestselling, highly recommended first edition, R has
considerably expanded both in popularity and in the number of
packages available. Extending the Linear Model with R: Generalized
Linear, Mixed Effects and Nonparametric Regression Models, Second
Edition takes advantage of the greater functionality now available
in R and substantially revises and adds several topics. New to the
Second Edition Expanded coverage of binary and binomial responses,
including proportion responses, quasibinomial and beta regression,
and applied considerations regarding these models New sections on
Poisson models with dispersion, zero inflated count models, linear
discriminant analysis, and sandwich and robust estimation for
generalized linear models (GLMs) Revised chapters on random effects
and repeated measures that reflect changes in the lme4 package and
show how to perform hypothesis testing for the models using other
methods New chapter on the Bayesian analysis of mixed effect models
that illustrates the use of STAN and presents the approximation
method of INLA Revised chapter on generalized linear mixed models
to reflect the much richer choice of fitting software now available
Updated coverage of splines and confidence bands in the chapter on
nonparametric regression New material on random forests for
regression and classification Revamped R code throughout,
particularly the many plots using the ggplot2 package Revised and
expanded exercises with solutions now included Demonstrates the
Interplay of Theory and Practice This textbook continues to cover a
range of techniques that grow from the linear regression model. It
presents three extensions to the linear framework: GLMs, mixed
effect models, and nonparametric regression models. The book
explains data analysis using real examples and includes all the R
commands necessary to reproduce the analyses.
General
Imprint: |
Productivity Press
|
Country of origin: |
United States |
Series: |
Chapman & Hall/CRC Texts in Statistical Science |
Release date: |
March 2016 |
First published: |
2016 |
Authors: |
Julian J. Faraway
|
Dimensions: |
163 x 242 x 26mm (L x W x T) |
Format: |
Hardcover
|
Pages: |
399 |
Edition: |
2nd edition |
ISBN-13: |
978-1-4987-2096-0 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
Probability & statistics
|
LSN: |
1-4987-2096-X |
Barcode: |
9781498720960 |
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