Advanced Regression Model Building Techniques

by Samprit Chatterjee

Combining a modern, data-analytic perspective with a focus on applications in the social and life sciences, this book provides in-depth coverage of regression analysis, generalized linear models, and closely related methods. Although the text is largely accessible to readers with a modest background in statistics and mathematics, the authors also present more advanced material both throughout the book and in the concluding chapters. The goal is for the end-user to learn the fundamentals of multivariate regression analysis, including a basic understanding of high dimensional data, hierarchical data, and robust regression. Readers should acquire a solid understanding of regression analysis, the various models that are available, and an awareness of issues that arise when dealing with actual data instead of theoretical statistics. Discussions of the software package R are interspersed throughout the book and further showcased on an author-maintained web site. There are plentiful examples and exercises.

352 pages, Hardcover