An Introduction to Categorical Data Analysis, 3/e (Hardcover)

Agresti, Alan

An Introduction to Categorical Data Analysis, 3/e (Hardcover)
  • 出版商: Wiley
  • 出版日期: 2018-11-20
  • 定價: $1,950
  • 售價: 9.8 折 $1,911
  • 語言: 英文
  • 頁數: 400
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119405262
  • ISBN-13: 9781119405269
  • 相關分類: Data Science

    • 立即出貨 (庫存=1)

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商品描述

A valuable new edition of a standard reference

The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data.

Adding to the value in the new edition is:

- Illustrations of the use of R software to perform all the analyses in the book

- A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis

- New sections in many chapters introducing the Bayesian approach for the methods of that chapter

- More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets

- An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises

Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more.

An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences.

商品描述(中文翻譯)

一本標準參考書的寶貴新版本

對於分類數據的統計方法的使用已經大幅增加，特別是在生物醫學和社會科學的應用中。《分類數據分析入門，第三版》總結了這些方法，並向讀者展示如何使用軟件進行分析。讀者將找到一種統一的廣義線性模型方法，將羅吉斯回歸和離散數據的對數線性模型與連續數據的正常回歸相結合。

新版的價值還包括：

- 用R軟件進行所有分析的示例
- 關於分類數據的替代方法的新章節，包括平滑和正則化方法（如套索法）、線性判別分析和分類樹等分類方法，以及聚類分析
- 許多章節中引入了貝葉斯方法的新部分
- 70多個數據集的分析示例，以說明方法的應用，以及約200個練習題，其中許多包含其他數據集
- 附錄展示如何使用SAS、Stata和SPSS，以及附錄中對大多數奇數練習題提供的簡短解答

這本書以應用、非技術性的風格撰寫，通過廣泛的真實數據來說明方法，包括醫學臨床試驗、環境問題、青少年藥物使用、馬蹄蟹交配、籃球投籃、幸福的相關因素等等。

《分類數據分析入門，第三版》是統計學家和生物統計學家以及社會行為科學、醫學與公共衛生、市場營銷、教育以及生物和農業科學的方法學家的寶貴工具。

作者簡介

ALAN AGRESTI is Distinguished Professor Emeritus at the University of Florida. He has presented short courses on categorical data methods in 35 countries. He is the author of seven books, including the bestselling Categorical Data Analysis (Wiley), Foundations of Linear and Generalized Linear Models (Wiley), Statistics: The Art and Science of Learning from Data (Pearson), and Statistical Methods for the Social Sciences (Pearson).

作者簡介(中文翻譯)

ALAN AGRESTI 是佛羅里達大學的榮譽退休教授。他在35個國家進行過關於類別數據方法的短期課程。他是七本書的作者，包括暢銷書《類別數據分析》（Wiley）、《線性和廣義線性模型基礎》（Wiley）、《統計學：從數據中學習的藝術與科學》（Pearson）和《社會科學的統計方法》（Pearson）。

目錄大綱

1 Introduction
2 Analyzing Contingency Tables
3 Generalized Linear Models
4 Logistic Regression
5 Building and Applying Logistic Regression Models
6 Multicategory Logit Models
7 Loglinear Models for Contingency Tables and Counts
8 Models for Matched Pairs
9 Marginal Modeling of Correlated, Clustered Responses
10 Random Effects: Generalized Linear Mixed Models
11 Classification and Smoothing
12 A Historical Tour of Categorical Data Analysis
Appendix: Software for Categorical Data Analysis

Brief Solutions to Odd-Numbered Exercises
Bibliography
Examples Index
Subject Index

目錄大綱(中文翻譯)

1 簡介
2 分析列聯表
3 广义线性模型
4 邏輯回歸
5 建立和應用邏輯回歸模型
6 多類別羅吉特模型
7 用於列聯表和計數的對數線性模型
8 配對模型
9 相關、集群響應的邊際建模
10 隨機效應：广义线性混合模型
11 分類和平滑
12 類別數據分析的歷史之旅
附錄：類別數據分析軟體


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