| Advanced Linear Modeling: Multivariate, Time Series, and Spatial Data; Nonparametric Regression and Response Surface Maximization 2001 Edition Contributor(s): Christensen, Ronald (Author) |
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ISBN: 0387952969 ISBN-13: 9780387952963 Publisher: Springer OUR PRICE: $52.24 Product Type: Hardcover - Other Formats Published: June 2001 Annotation: This book introduces several topics related to linear model theory, multivariate linear models, discriminant analysis, principal components, factor analysis and spatial data analysis. |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - Multivariate Analysis - Mathematics | Counting & Numeration - Mathematics | Numerical Analysis |
| Dewey: 519.535 |
| LCCN: 2001032815 |
| Series: Springer Texts in Statistics |
| Physical Information: 0.94" H x 6.14" W x 9.21" (1.68 lbs) 398 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |