With examples and MATLAB programs that make it easy to apply the methods to your own data analysis, this book provides a thorough overview of the construction methods and applications of simultaneous confidence bands for various inferential purposes. Most of the text covers normal-error linear regression models, although the author also describes the logistic regression model to show how simultaneous confidence bands can be constructed and used for generalized linear regression models. The MATLAB programs, along with color figures, are available for download on the author's website.

Wei Liu is a professor of statistics at the University of Southampton, UK. Dr. Liu has published more than 80 papers in peer-reviewed journals, including Annals of Statistics, Journal of the American Statistical Association, Journal of the Royal Statistical Society, Biometrika, and Biometrics. His research encompasses multiple comparison, simultaneous inference, and sequential methods.

Introduction to Linear Regression Analysis. Confidence Bands for One Simple Regression Model. Confidence Bands for One Multiple Regression Model. Assessing Part of a Regression Model. Comparison of Two Regression Models. Comparison of More Than Two Regression Models. Confidence Bands for Polynomial Regression. Confidence Bands for Logistic Regression. Appendices. Bibliography. Index.