Plane Answers to Complex Questions
This textbook provides a wide-ranging introduction to the use and theory of linear models for analyzing data. The author's
emphasis is on providing a unified treatment of linear models, including analysis of variance models and regression models,
based on projections, orthogonality, and other vector space ideas. Every chapter comes with numerous exercises and examples
that make it ideal for a graduate-level course.
Advanced Linear Modeling
This book introduces several topics related to linear model theory: multivariate linear models, discriminant analysis,
principal components, factor analysis, time series in both the frequency and time domains, and spatial data analysis.
The second edition adds new material on nonparametric regression, response surface maximization, and longitudinal models.
The book provides a unified approach to these disparate subjects and serves as a self-contained companion volume to the
author's Plane Answers to Complex Questions: The Theory of Linear Models.
Analysis of Variance, Design, and Regression
This book presents a comprehensive examination of basic statistical
methods and their applications. It focuses primarily on the analysis of variance
and regression but also includes discussions of basic ideas in experimental
design and of count data.
Log-Linear Models and Logistic Regression
This book examines statistical models for frequency data. The
primary focus is on log-linear models for contingency tables, but in this second
edition, greater emphasis has been placed on logistic regression. Topics such
as logistic discrimination and generalized linear models are also explored.