Applications of Regression for Categorical Outcomes Using R
暫譯: 使用 R 進行類別結果的迴歸應用

Melamed, David, Doan, Long

Applications of Regression for Categorical Outcomes Using R
  • 出版商: CRC
  • 出版日期: 2023-07-26
  • 售價: $6,820
  • 貴賓價: 9.5 折 $6,479
  • 語言: 英文
  • 頁數: 222
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0367894637
  • ISBN-13: 9780367894634
  • 相關分類: R 語言、機率統計學 Probability-and-statistics

    • 海外代購書籍(需單獨結帳)

商品描述

This book covers the main models within the GLM (i.e., logistic, Poisson, negative binomial, ordinal, and multinomial). For each model, estimations, interpretations, model fit, diagnostics, and how to convey results graphically are provided. There is a focus on graphic displays of results as these are a core strength of using R for statistical analysis. Many in the social sciences are transitioning away from using Stata, SPSS and SAS, to using R, and this book uses statistical models which are relevant to the social sciences. Social Science Applications of Regression for Categorical Outcomes Using R will be useful for graduate students in the social sciences who are looking to expand their statistical knowledge, and for Quantitative social scientists due to it's ability to act as a practitioners guide.

Key Features:

  • Applied- in the sense that we will provide code that others can easily adapt

  • Flexible- R is basically just a fancy calculator. Our programs will enable users to derive quantities that they can use in their work

  • Timely- many in the social sciences are currently transitioning to R or are learning it now. Our book will be a useful resource

  • Versatile- we will write functions into an R package that can be applied to all of the regression models we will cover in the book

  • Aesthetically pleasing- one advantage of R relative to other software packages is that graphs are fully customizable. We will leverage this feature to yield high-end graphical displays of results

  • Affordability- R is free. R packages are free. There is no need to purchase site licenses or updates.

商品描述(中文翻譯)

這本書涵蓋了廣義線性模型（GLM）中的主要模型（即邏輯斯回歸、泊松回歸、負二項回歸、有序回歸和多項回歸）。對於每個模型，提供了估計、解釋、模型擬合、診斷以及如何以圖形方式傳達結果的內容。書中重點放在結果的圖形顯示上，因為這是使用 R 進行統計分析的一個核心優勢。許多社會科學領域的研究者正在逐漸從使用 Stata、SPSS 和 SAS 轉向使用 R，而本書使用的統計模型與社會科學相關。《使用 R 進行類別結果的迴歸社會科學應用》將對希望擴展統計知識的社會科學研究生以及由於其作為實務指南的能力而對定量社會科學家有用。

主要特點：
- 實用性：我們將提供其他人可以輕鬆適應的程式碼。
- 靈活性：R 基本上只是一個高級計算器。我們的程式將使用戶能夠推導出可以在工作中使用的數量。
- 及時性：許多社會科學領域的研究者目前正在轉向 R 或正在學習它。我們的書將成為一個有用的資源。
- 多功能性：我們將編寫函數到一個 R 套件中，該套件可以應用於我們在書中涵蓋的所有迴歸模型。
- 美觀性：相較於其他軟體包，R 的一個優勢是圖形完全可自定義。我們將利用這一特性來產生高端的結果圖形顯示。
- 經濟性：R 是免費的。R 套件也是免費的。無需購買站點許可證或更新。

作者簡介

David Melamed is a Professor of Sociology and Translational Data Analytics at The Ohio State University. His research interests include the emergence of stratification, cooperation and segregation in dynamical systems, and statistics and methodology. Since 2019 he has been co-Editor of Sociological Methodology.

Long Doan is an Associate Professor of Sociology at the University of Maryland, College Park. His research examines how various social psychological processes like identity, intergroup competition, and bias help to explain the emergence and persistence of social stratification. He focuses on inequalities based on sexuality, gender, and race.

作者簡介(中文翻譯)

大衛·梅拉梅德是俄亥俄州立大學的社會學與轉譯數據分析教授。他的研究興趣包括分層的出現、動態系統中的合作與隔離，以及統計學和方法論。自2019年以來，他一直擔任社會學方法論的共同編輯。

隆·多安是馬里蘭大學公園校區的社會學副教授。他的研究探討各種社會心理過程，如身份、群體間競爭和偏見，如何幫助解釋社會分層的出現和持續性。他專注於基於性取向、性別和種族的不平等問題。

類似商品