Here is a list of books that Dr. Newton placed on reserve for the course. For weekly readings in the course textbook, see the readings page.
Albright, S. C., W. L. Winston, and C. J. Zappe. Managerial Statistics. Duxbury, 2000.
Delwiche, L. D. and S. J. Slaughter. The Little SAS® Book: A Primer. 2nd ed. SAS® Publishing, 1998.
Draper, N. and H. Smith. Applied Regression Analysis. 3rd ed. Wiley, 1998.
Getting Started With the SAS® System: Version 8. SAS® Publishing, 1999.
Hand, D., H. Mannila, and P. Smyth. Principles of Data Mining. MIT Press, 2001.
Hastie, T., R. Tibshirani, and J. Friedman. The Elements of Statistical Learning: Data Mining, Inference and Prediction. Springer, 2001.
Hildebrand D., and R. L. Ott. Statistical Thinking for Managers. 4th ed. Duxbury, 1998.
Hosmer, D. W., and S. Lemeshow. Applied Logistic Regression. 2nd ed. Wiley, 2000.
Johnson, R. A., and D. W. Wichern. Applied Multivariate Statistical Analysis. 4th ed. Prentice-Hall, 1998.
Montgomery, D. C., E. A. Peck, and G. G. Vining. Introduction to Linear Regression Analysis. 3rd ed. Wiley, 2001.
Myers, R. H. Classical and Modern Regression with Applications. 2nd ed. Duxbury, 1990.
Neter, J., M. Kutner, C. Nachtsheim, and W. Wasserman. Applied Linear Statistical Models. 4th ed. Irwin, 1996.
Ott, L., M. Longnecker, R. Lyman Ott. An Introduction to Statistical Methods and Data Analysis. 5th ed. Duxbury, 2000.
Rawlings, J. O. Applied Regression Analysis: A Research Tool. 2nd ed. Springer, 1998.
Rice, J. A. Mathematical Statistics and Data Analysis. 2nd ed. Duxbury, 1995.
Tamhane, A. and D. Dunlop. Statistics and Data Analysis. Prentice Hall, 2000.