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This book introduces several topics related to linear model theory, including: multivariate linear models, discriminant analysis, principal components, factor analysis, time series in both the frequency and time domains, and spatial data analysis. This 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. Ronald Christensen is Professor of Statistics at the University of New Mexico. He is well known for his work on the theory and application of linear models having linear structure.
This book introduces several topics related to linear model theory, including: multivariate linear models, discriminant analysis, principal components, factor a
This work details the statistical inference of linear models including parameter estimation, hypothesis testing, confidence intervals, and prediction. The autho
The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizati
This book introduces several topics related to linear model theory, including: multivariate linear models, discriminant analysis, principal components, factor a
This textbook provides a wide-ranging introduction to the use of linear models in analyzing data. The author's emphasis is on providing a unified treatment of t
