The course will be based on Lecture Notes, scheduled as described in the Course Schedule.
and on the
Textbook
Kutner, Nachtsheim, Neter, and Li, `Applied Linear Statistical Models', 5th Edition, McGraw Hill, 2005. ISBN 0-07-238688-6
The course will follow parts of this book. It is available at Amazon, or at the campus bookstore. Fondren Library also has a few copies.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.htm
Watch this page for updates on recommended reading!