Advanced Linear Modeling: Statistical Learning and Dependent Data
暫譯: 進階線性模型：統計學習與依賴數據

Christensen, Ronald

Advanced Linear Modeling: Statistical Learning and Dependent Data

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》第二版。它有一個新的標題，以表明包含了許多新材料。主要的變更是新增了兩個章節：一個關於非參數回歸，另一個關於響應面最大化。與之前一樣，內容的重點仍然是該主題的線性模型方面。例如，在非參數回歸章節中，關於核回歸估計的內容非常少，但有相當多的關於級數近似、樣條和回歸樹的內容，這些都可以視為線性建模。新版本還包括各種較小的變更。特別值得注意的是第一章中有一個關於建模縱向（重複測量）數據的小節，以及第六章中有關空間格點數據的協方差結構的一節。我想感謝Dale Zimmerman提出將空間格點的材料納入書中。另一個變更是主題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)

羅納德·克里斯滕森（Ronald Christensen）是新墨西哥大學的統計學教授，美國統計協會（American Statistical Association, ASA）和數學統計學會（Institute of Mathematical Statistics）的會士，曾擔任ASA貝葉斯統計科學分會的主席及《美國統計學家》（The American Statistician）的編輯。他的著作包括《平面答案對複雜問題》（Plane Answers to Complex Questions，Springer 2011）、《對數線性模型與邏輯回歸》（Log-Linear Models and Logistic Regression，Springer 1997）、《變異數分析、設計與回歸》（Analysis of Variance, Design, and Regression，1996, 2016）以及《貝葉斯思想與數據分析》（Bayesian Ideas and Data Analysis，2010，與約翰遜（Johnson）、布蘭斯卡姆（Branscum）和漢森（Hanson）合著）。

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