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＜E-Book＞
Advanced Linear Modeling : Multivariate, Time Series, and Spatial Data; Nonparametric Regression and Response Surface Maximization / by Ronald Christensen
(Springer Texts in Statistics. ISSN:21974136)

Edition	2nd ed. 2001.
Publisher	New York, NY : Springer New York : Imprint: Springer
Year	2001
Language	English
Size	XIV, 398 p : online resource
Authors	*Christensen, Ronald author SpringerLink (Online service)
Subjects	LCSH:Probabilities LCSH:Mathematics -- Data processing  All Subject Search LCSH:Statistics  FREE:Probability Theory FREE:Computational Mathematics and Numerical Analysis FREE:Statistical Theory and Methods
Notes	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 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 HTTP:URL=https://doi.org/10.1007/978-1-4757-3847-6

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