Applied Linear Regression, 4/e (Hardcover)
暫譯: 應用線性回歸(第4版,精裝本)

Sanford Weisberg

商品描述

Praise for the Third Edition

"...this is an excellent book which could easily be used as a course text..."
—International Statistical Institute

The Fourth Edition of Applied Linear Regression provides a thorough update of the basic theory and methodology of linear regression modeling. Demonstrating the practical applications of linear regression analysis techniques, the Fourth Edition uses interesting, real-world exercises and examples.

Stressing central concepts such as model building, understanding parameters, assessing fit and reliability, and drawing conclusions, the new edition illustrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. While maintaining the accessible appeal of each previous edition,Applied Linear Regression, Fourth Edition features:

  • Graphical methods stressed in the initial exploratory phase, analysis phase, and summarization phase of an analysis
  • In-depth coverage of parameter estimates in both simple and complex models, transformations, and regression diagnostics
  • Newly added material on topics including testing, ANOVA, and variance assumptions
  • Updated methodology, such as bootstrapping, cross-validation binomial and Poisson regression, and modern model selection methods

Applied Linear Regression, Fourth Edition is an excellent textbook for upper-undergraduate and graduate-level students, as well as an appropriate reference guide for practitioners and applied statisticians in engineering, business administration, economics, and the social sciences.

商品描述(中文翻譯)

對於 第三版的讚譽

'...這是一本優秀的書籍,可以輕易用作課程教材...'
—國際統計學會

應用線性回歸第四版提供了線性回歸建模基本理論和方法論的全面更新。這一版展示了線性回歸分析技術的實際應用,並使用有趣的真實世界練習和範例。

強調模型建立、理解參數、評估擬合度和可靠性以及得出結論等核心概念,新版說明了如何主要通過最小二乘回歸來發展估計、信心和檢驗程序。在保持每一版的可讀性吸引力的同時,應用線性回歸,第四版的特點包括:

  • 在分析的初步探索階段、分析階段和總結階段強調圖形方法
  • 對簡單和複雜模型中的參數估計、變換和回歸診斷進行深入覆蓋
  • 新增有關檢驗、ANOVA和變異數假設的材料
  • 更新的方法論,如自助法、交叉驗證二項式和泊松回歸,以及現代模型選擇方法

應用線性回歸,第四版是高年級本科生和研究生的優秀教科書,也是工程、商業管理、經濟學和社會科學領域的從業者和應用統計學家的合適參考指南。