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.

Fourier transformations, Kalman filtering, and kriging. Professor Christensen's text effectively shows how a myriad of methodologies can be viewed and developed utilizing the same results that are used to create the foundations for regression and ANOVA modeling. The sections and chapters that have been added to Advanced Linear Modeling are all strong and will serve to enhance what is already an excellent text' - Joseph Cavanaugh, University of Missouri-Columbia.

Multivariate Linear Models.- Discrimination and Allocation.- Principal Components and Factor Analysis.- Frequencey Analysis of Time Series.- Time Domain Analysis.- Linear Models for Spatial Data: Kriging.- Nonparametric Regression.- Response Surface Maximization.