The course will be based on Lecture Notes, scheduled as described in the Course Schedule.
and on the
Text
Montgomery, D. C., Peck, E. A., and Vinning, G. G., Introduction to Linear Regression Analysis, 5th Edition, Wiley, 2012. ISBN 978-0-470-54281-1
The course will follow parts of this book. It is available at Amazon, or at the campus bookstore. Fondren Library also has it.
Additional Recommended Text (used in past years)
Kutner, Nachtsheim, Neter, and Li, Applied Linear Statistical Models, 5th Edition, McGraw Hill, 2005. ISBN 0-07-238688-6
Further suggested reading
- J. Faraway, `Linear Models with R'
- Ben Noble and James W. Daniel, Applied Linear Algebra, Prentice Hall (3rd ed. 1987)
- Gene H. Golub, Charles F. van Loan, Matrix Computations, John Hopkins University Press, 1989
- George Casella and Roger L. Berger, Statistical Inference, 2nd ed., Duxbury Advanced Series, 2002.
- Larry Wasserman, All of Statistics: A Concise Course in Statistical Inference. Springer, 2010.
On-line chapters, course notes:
- Julian Faraway, Practical Regression and ANOVA Using R, 2002 (Lots of R code in it.)
http://cran.r-project.org/doc/contrib/Faraway-PRA.pdf
- The above Faraway book posted in the class notes of Ingo Ruczinski, Johns Hopkins School of Public Health. (Lots of R code in it.)
http://www.biostat.jhsph.edu/~iruczins/teaching/jf/ch1.pdf etc., through ch16- David Olive, Mathematics Dept., U Minnesota; Applied Robust Statistics
http://www.math.siu.edu/olive/Personal.html
http://www.math.siu.edu/olive/ol-bookp.htmR books
- ggplot2: Elegant Graphics for Data Analysis (Use R!) by Hadley Wickham, Springer, 2009 Paperback
- R Cookbook (O'Reilly Cookbooks) by Paul Teetor, 2011 Paperback
- R Graphics Cookbook by Winston Chang, 2013. Paperback
- R for Everyone: Advanced Analytics and Graphics (Addison-Wesley Data & Analytics Series) by Jared P. Lander, 2013. Paperback
Watch this page for updates on recommended reading!