Advanced linear modeling : multivariate, time series, and spatial data; nonparametric regression and response surface maximization
Author(s)
Bibliographic Information
Advanced linear modeling : multivariate, time series, and spatial data; nonparametric regression and response surface maximization
（Springer texts in statistics）
Springer, c2001
2nd ed.
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Note
Originally published: Linear models for multivariate, time series, and spatial data. New York: Springer Verlag, c1991
Bibliography: p. [377]-389
Includes 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.
Table of Contents
Multivariate Linear Models * Discrimination and Allocation * Principal Components and Factor Analysis * Frequency Analysis of Time Series * Time Domain Analysis * Linear Models for Spatial Data: Kriging * Nonparametric Regression * Response Surface Maximization
by "Nielsen BookData"
