Statistics 345

Statistical Models


Textbooks and web sites


Applied Linear Regression, 4e,
Sanford Weisberg
Wiley, 2014

Sanford Weisberg, Applied Linear Regression, 4e





An R Companion to Applied Regression, 2e,
John Fox and Sanford Weisberg
Sage, 2011

John Fox and Sanford Weisberg, An R Companion to Applied Regression, 2e





Applied Regression Analysis and Generalized Linear Models, 3e,
John Fox
Sage, 2016

John Fox, Applied Regression Analysis and Generalized Linear Models, 3e





Generalized Linear Models,
Germán Rodríguez
Princeton, F2015

Germán Rodríguez, Princeton, Generalized Linear Models





Statistical Models, Theory and Practice, Revised Edition,
David Freedman
Cambridge, 2009

David Freedman, Statistical Models, Theory and Practice, Revised Edition





Data Analysis Using Regression and Multilevel/Hierarchical Models,
Andrew Gelman and Jennifer Hill
Cambridge, 2007

Andrew Gelman and Jennifer Hill, Data Analysis Using Regression and Multilevel/Hierarchical Models, Cambridge, 2007





A Modern Approach to Regression with R,
Simon J. Sheather
Springer, 2009

Simon J. Sheather, A Modern Approach to Regression with R, Springer, 2009


Linear Models with R, 2e,
Julian J. Faraway
Chapman and Hall/CRC, 2016

Julian J. Faraway, Linear Models with R, 2e


Extending the Linear Model with R:
Generalized Linear, Mixed Effects and
Nonparametric Regression Models, 2e,
Julian J. Faraway
Chapman and Hall/CRC, 2016

Julian J. Faraway, Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, 2e


Generalized Additive Models, An Introduction with R, 2e,
Simon N. Wood
Chapman and Hall/CRC, 2016

Simon N. Wood, Generalized Additive Models, An Introduction with R, 2e





Core Statistics,
Simon N. Wood
Cambridge, 2015

Simon N. Wood,

A concise summary of mathematical statistics in the style of Wood's Generalized Additive Models.





Statistics, 4e,
Freedman, Pisani, and Purves
Norton, 2007

David Freedman, Robert Pisani, and Roger Purves, Statistics, 4e, Norton, 2007

The natural prerequisite for a course on statistical models is prior exposure to elementary statistics, as described, for instance, in this highly regarded text by Freedman, Pisani, and Purves.








cparrish@sewanee.edu