Extending the Linear Model with R (Texts in Statistical Science)
Faraway, Julian J.
Sold by Ria Christie Collections, Uxbridge, United Kingdom
AbeBooks Seller since March 25, 2015
New - Hardcover
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Quantity: 2 available
Add to basketSold by Ria Christie Collections, Uxbridge, United Kingdom
AbeBooks Seller since March 25, 2015
Condition: New
Quantity: 2 available
Add to basketStart 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
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.
Julian J. Faraway is a professor of statistics in the Department of Mathematical Sciences at the University of Bath. His research focuses on the analysis of functional and shape data with particular application to the modeling of human motion. He earned a PhD in statistics from the University of California, Berkeley.
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