References

- The Statistical Sleuth: A Course in the Methods of Data Analysis by Fred L. Ramsey and Daniel W. Schafer. Duxbury. This is the best introductory statistics book that I have ever read. A great reference.
- Sampling, Second Edition by Steven K. Thompson. Wiley. A very complete treatment of sampling in standard and nonstandard contexts. Very pleasantly written.
- Introduction to Linear Regression Analysis, Third Edition by Douglas C. Montgomery, Elizabeth A. Peck, and G. Geoffrey Vining. Wiley. A very well-written introduction to regression including some modern methods.
- Design and Analysis of Experiments, Fifth Edition by Douglas C. Montgomery. Wiley. To me the most readable experimental design book.
- An Introduction to Categorical Data Analysis by Alan Agresti. Wiley. The baby classic work on categorical data analysis.
- Applied Logistic Regression, Second Edition by David W. Hosmer and Stanley Lemeshow. Wiley Interscience. A great introduction to logistic regression for those already familiar with the elements of multiple regression analysis.
- Forecasting Principles and Applications by Stephen A. DeLurgio. Inwin McGraw-Hill. A nicely written treatment of time series methods in the context of forecasting.