| 期刊全稱 | Advanced Linear Modeling | | 期刊簡稱 | Multivariate, Time S | | 影響因子2023 | Ronald Christensen | | 視頻video | http://file.papertrans.cn/146/145830/145830.mp4 | | 發(fā)行地址 | presents a collection of methodologies formulated and developed in the framework of linear models | | 學(xué)科分類 | Springer Texts in Statistics | | 圖書封面 |  | | 影響因子 | 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. | | Pindex | Textbook 20012nd edition |
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