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Advanced Linear Modeling : Multivariate, Time Series, and Spatial Data; Nonparametric Regression and Response Surface Maximization / by Ronald Christensen
(Springer Texts in Statistics. ISSN:21974136)
版 | 2nd ed. 2001. |
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出版者 | (New York, NY : Springer New York : Imprint: Springer) |
出版年 | 2001 |
本文言語 | 英語 |
大きさ | XIV, 398 p : online resource |
著者標目 | *Christensen, Ronald author SpringerLink (Online service) |
件 名 | LCSH:Probabilities LCSH:Mathematics -- Data processing 全ての件名で検索 LCSH:Statistics FREE:Probability Theory FREE:Computational Mathematics and Numerical Analysis FREE:Statistical Theory and Methods |
一般注記 | 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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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9781475738476 |
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EB00234125 |
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データ種別 | 電子ブック |
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分 類 | LCC:QA273.A1-274.9 DC23:519.2 |
書誌ID | 4000107017 |
ISBN | 9781475738476 |
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※2017年9月4日以降