Advanced linear modeling : statistical learning and dependent data
Author(s)
Bibliographic Information
Advanced linear modeling : statistical learning and dependent data
（Springer texts in statistics）
Springer, c2019
3rd ed
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Includes bibliographical references and indexes
Description and Table of Contents
Description
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.
by "Nielsen BookData"