Linear Models (Wiley Series in Probability and Statistics) 2/e

Shayle R. Searle, Marvin H. J. Gruber

  • 出版商: Wiley
  • 出版日期: 2016-10-31
  • 定價: $4,980
  • 售價: 9.5$4,731
  • 語言: 英文
  • 頁數: 696
  • 裝訂: Hardcover
  • ISBN: 1118952839
  • ISBN-13: 9781118952832
  • 相關分類: 機率統計學 Probability-and-statistics
  • 立即出貨 (庫存=1)

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商品描述

Provides an easy-to-understand guide to statistical linear models and its uses in data analysis

This book defines a broad spectrum of statistical linear models that is useful in the analysis of data. Considerable rewriting was done to make the book more reader friendly than the first edition. Linear Models, Second Edition is written in such a way as to be self-contained for a person with a background in basic statistics, calculus and linear algebra. The text includes numerous applied illustrations, numerical examples, and exercises, now augmented with computer outputs in SAS and R. Also new to this edition is:

• A greatly improved internal design and format

• A short introductory chapter to ease understanding of the order in which topics are taken up

• Discussion of additional topics including multiple comparisons and shrinkage estimators

• Enhanced discussions of generalized inverses, the MINQUE, Bayes and Maximum Likelihood estimators for estimating variance components

Furthermore, in this edition, the second author adds many pedagogical elements throughout the book. These include numbered examples, end-of-example and end-of-proof symbols, selected hints and solutions to exercises available on the book’s website, and references to “big data” in everyday life. Featuring a thorough update, Linear Models, Second Edition includes:

• A new internal format, additional instructional pedagogy, selected hints and solutions to exercises, and several more real-life applications

• Many examples using SAS and R with timely data sets

• Over 400 examples and exercises throughout the book to reinforce understanding

Linear Models, Second Edition is a textbook and a reference for upper-level undergraduate and beginning graduate-level courses on linear models, statisticians, engineers, and scientists who use multiple regression or analysis of variance in their work.

SHAYLE R. SEARLE, PhD, was Professor Emeritus of Biometry at Cornell University. He was the author of the first edition of Linear Models, Linear Models for Unbalanced Data, and Generalized, Linear, and Mixed Models (with Charles E. McCulloch), all from Wiley. The first edition of Linear Models appears in the Wiley Classics Library.

MARVIN H. J. GRUBER, PhD, is Professor Emeritus at Rochester Institute of Technology, School of Mathematical Sciences. Dr. Gruber has written a number of papers and has given numerous presentations at professional meetings during his tenure as a professor at RIT. His fields of interest include regression estimators and the improvement of their efficiency using shrinkage estimators. He has written and published two books on this topic. Another of his books, Matrix Algebra for Linear Models, also published by Wiley, provides good preparation for studying Linear Models. He is a member of the American Mathematical Society, the Institute of Mathematical Statistics and the American Statistical Association.

商品描述(中文翻譯)

提供了一本易於理解的統計線性模型指南,以及其在數據分析中的應用。

這本書定義了一個廣泛的統計線性模型範疇,對於數據分析非常有用。相較於第一版,這本書進行了大量的重寫,使其更適合讀者閱讀。《線性模型,第二版》的撰寫方式使其對於具備基礎統計學、微積分和線性代數背景的人來說是自成一體的。本書包含了大量的應用實例、數值示例和練習題,現在還增加了SAS和R的電腦輸出。本版的新增內容包括:

• 大幅改進的內部設計和格式

• 簡短的引言章節,以便更容易理解各個主題的順序

• 對多重比較和收縮估計器等額外主題的討論

• 對廣義逆矩陣、MINQUE、貝葉斯和最大概似估計器等估計方差成分的方法進行了增強討論

此外,在這個版本中,第二作者在整本書中增加了許多教學元素。這些元素包括編號示例、示例結束和證明結束符號、選定的練習提示和解答,以及對日常生活中的“大數據”的引用。《線性模型,第二版》的全面更新包括:

• 新的內部格式、額外的教學教學法、選定的練習提示和解答,以及更多的實際應用

• 使用SAS和R的許多實例和及時數據集

• 全書超過400個示例和練習,以加強理解

《線性模型,第二版》是一本上級本科和初級研究生線性模型課程的教科書和參考書,適用於統計學家、工程師和科學家在他們的工作中使用多元回歸或方差分析的人士。

SHAYLE R. SEARLE博士是康奈爾大學生物計量學名譽教授。他是《線性模型,線性模型的非平衡數據》和《廣義、線性和混合模型》(與Charles E. McCulloch合著)的作者,這些書都是由Wiley出版的。《線性模型》的第一版收錄在Wiley經典圖書館中。

MARVIN H. J. GRUBER博士是羅徹斯特理工學院數學科學學院的名譽教授。Gruber博士在擔任RIT教授期間撰寫了許多論文並在專業會議上發表了許多演講。他的研究興趣包括回歸估計器及其效率的改進,使用收縮估計器。他已經撰寫並出版了兩本關於這個主題的書籍。他的另一本書《矩陣代數與線性模型》也由Wiley出版,為學習線性模型提供了良好的準備。他是美國數學學會、數理統計學會和美國統計學會的成員。