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Titlebook: Advanced Linear Modeling; Multivariate, Time S Ronald Christensen Textbook 20012nd edition Springer Science+Business Media New York 2001 AN

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期刊全称Advanced Linear Modeling
期刊简称Multivariate, Time S
影响因子2023Ronald Christensen
视频video
发行地址presents a collection of methodologies formulated and developed in the framework of linear models
学科分类Springer Texts in Statistics
图书封面Titlebook: Advanced Linear Modeling; Multivariate, Time S Ronald Christensen Textbook 20012nd edition Springer Science+Business Media New York 2001 AN
影响因子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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https://doi.org/10.1007/978-3-031-16031-8One purpose of response surface methodologies is to maximize or minimize a response function. The response is a function of some input variables that are controllable, call these . = (..,..., ..)′. Denote the response function ..
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Springer Science+Business Media New York 2001
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