STAT/CS&SS 504 - Winter 2008

Applied Regression

Web site for the textbook by Weisberg, S. (2005). Applied Linear Regression, 3rd edition, Wiley.
- Errata.
- Data sets, R scripts that reproduce most of the computations shown in the text, and the R primer.
Free version of the regression book by J. J. Faraway (2002) Practical Regression and Anova using R.
R language:
- The Comprehensive R Archive Network (CRAN) The home for R. Includes software and documentation.
- An Introduction to R from the CRAN web site.
- R regression functions handout by Vito Ricci.
- Venables, W. N. and Ripley, B. D. (1997) Modern Applied Statistics with S-Plus, 2nd edition, Springer.
Computing resources on campus:
- The Center for Social Science Computation and Research (CSSCR) located in Condon Hall (rooms 611, 609, 601a-g).
Data bases:
- StatLib, Carnegie Mellon University.
- Statistical Science Web data sets.
- Statistical datasets, University of Massachusetts, Amherst.
Resources on mathematical/statistical concepts:
- Math review from the Math Camp by the Center for Statistics and the Social Sciences, University of Washington.
- Mathworld, an extensive mathematics resource.
- Rice virtual lab in statistics, containing an online statistics book, simulations, demonstrations and case studies.
- George A.F. Seber and Alan J. Lee. (2003 ) Linear Regression Analysis, 2^ndedition. Wiley
Resources on writing:
- Alley, M(1996) The Craft of Scientific Writing, 3rd edition, Springer.
- Higham, N. J. (1993) Handbook of Writing for the Mathematical Sciences, Siam.
- Ehrenberg, A.S.C. (1982). Writing technical papers or reports. The American Statistician 36:326-329.
- Freeman, D.H., Jr., Gonzalez, M.E., Hoaglin, D.C. and Kilss, B.A. (1983). Presenting statistical papers. The American Statistician 37:106-110.
- A nice list of mostly common sense guidelines: http://writing.caltech.edu/resources/tech-writing-tips.html