Christensen Advanced Linear Modeling

Multivariate, Time Series, and Spatial Data; Nonparametric Regression and Response Surface Maximization
2. Auflage 2001
ISBN: 978-1-4757-3847-6
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 398 Seiten, eBook

Reihe: Springer Texts in Statistics

This is the second edition of Linear Models for Multivariate, Time Series and Spatial Data. It has a new title to indicate that it contains much new material. The primary changes are the addition of two new chapters: one on nonparametric regression and one on response surface maximization. As before, the presentations focus on the linear model aspects of the subject. For example, in the nonparametric regression chapter there is very little about kernal regression estimation but quite a bit about series approxi mations, splines, and regression trees, all of which can be viewed as linear modeling. The new edition also includes various smaller changes. Of particular note are a subsection in Chapter 1 on modeling longitudinal (repeated measures) data and a section in Chapter 6 on covariance structures for spatial lattice data. I would like to thank Dale Zimmerman for the suggestion of incor porating material on spatial lattices. Another change is that the subject index is now entirely alphabetical.

Zielgruppe

Graduate

Autoren/Hrsg.

Christensen, Ronald

Inhaltsverzeichnis

1 Multivariate Linear Models.- 2 Discrimination and Allocation.- 3 Principal Components and Factor Analysis.- 4 Frequency Analysis of Time Series.- 5 Time Domain Analysis.- 6 Linear Models for Spatial Data: Kriging.- 7 Nonparametric Regression.- 8 Response Surface Maximization.- References.- Author Index.