Advanced Linear Modeling: Statistical Learning and Dependent Data (Paperback)
Christensen, Ronald
- 出版商: Springer
- 出版日期: 2021-01-08
- 售價: $3,150
- 貴賓價: 9.5 折 $2,993
- 語言: 英文
- 頁數: 608
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3030291669
- ISBN-13: 9783030291662
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相關分類:
Data Science、機率統計學 Probability-and-statistics、線性代數 Linear-algebra
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其他版本:
Advanced Linear Modeling: Statistical Learning and Dependent Data
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相關主題
商品描述
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.
商品描述(中文翻譯)
這是《多變量、時間序列和空間數據的線性模型》的第二版。新版標題表明它包含了許多新內容。主要的改變是增加了兩個新章節:非參數回歸和響應曲面最大化。與之前一樣,本書的內容主要集中在線性模型方面。例如,在非參數回歸章節中,很少涉及核回歸估計,但有很多關於數列逼近、樣條和回歸樹的內容,這些都可以看作是線性建模的一部分。新版還包括了一些較小的改變。特別值得注意的是第一章中關於建模長期(重複測量)數據的一個小節,以及第六章中關於空間格點數據的協方差結構的一節。我要感謝Dale Zimmerman提出在空間格點上加入相關內容的建議。另一個改變是索引現在完全按字母順序排列。
作者簡介
Ronald Christensen is a Professor of Statistics at the University of New Mexico, Fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics, former Chair of the ASA Section on Bayesian Statistical Science and former Editor of The American Statistician. His book publications include Plane Answers to Complex Questions (Springer 2011), Log-Linear Models and Logistic Regression (Springer 1997), Analysis of Variance, Design, and Regression (1996, 2016), and Bayesian Ideas and Data Analysis (2010, with Johnson, Branscum and Hanson).
作者簡介(中文翻譯)
Ronald Christensen是新墨西哥大學統計學教授,美國統計學會(ASA)和數學統計學會的會士,曾任ASA貝葉斯統計科學部門主席和《美國統計學家》編輯。他的著作包括《Plane Answers to Complex Questions》(Springer 2011)、《Log-Linear Models and Logistic Regression》(Springer 1997)、《Analysis of Variance, Design, and Regression》(1996, 2016)和《Bayesian Ideas and Data Analysis》(2010, 與Johnson, Branscum和Hanson合著)。