Springer Texts in Statistics: Multivariate, Time Series, and Spatial Data; Nonparametric Regression and Response Surface Maximization

Christensen, Ronald

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.

Details

Published by: Springer

Publication Date: 2001-06-26

Format: Hardcover

ISBN-13: 9780387952963

DOI: 10.1007/978-1-4757-3847-6

Dimensions: 234cm x156cm

Pages: 398