Linear Regression Models: Applications in R
暫譯: 線性回歸模型：在 R 中的應用

Hoffmann, John P.

Linear Regression Models: Applications in R
  • 出版商: CRC
  • 出版日期: 2021-09-13
  • 售價: $3,360
  • 貴賓價: 9.5 折 $3,192
  • 語言: 英文
  • 頁數: 420
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367753669
  • ISBN-13: 9780367753665

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Research in the social and behavioral sciences has benefited from linear regression models (LRMs) for decades to identify and understand the associations among a set of explanatory variables and an outcome variable. Linear Regression Models: Applications in R provides you with a comprehensive treatment of these models and indispensable guidance about how to estimate them using the R software environment.

After furnishing some background material, the author explains how to estimate simple and multiple LRMs in R, including how interpret their coefficients and understand their assumptions. Several chapters thoroughly describe these assumptions, and explain how to determine whether they are satisfied and how to modify the regression model if they are not. The book also includes chapters on specifying the correct model, adjusting for measurement error, understanding the effects of influential observations, and using the model with multilevel data. The concluding chapter presents an alternative model - logistic regression - designed for binary or two-category outcome variables. The book includes appendices that discuss data management and missing data, and provides simulations in R to test model assumptions.

Features

 

 

 

 

 

  • Furnishes a thorough introduction and detailed information about the linear regression model, including how to understand and interpret its results, test assumptions, and adapt the model when assumptions are not satisfied.
  • Uses numerous graphs in R to illustrate the model's results, assumptions, and other features.
  • Does not assume a background in calculus or linear algebra; rather, an introductory statistics course and familiarity with elementary algebra are sufficient.
  • Provides many examples using real world datasets relevant to various academic disciplines.
  • Fully integrates the R software environment in its numerous examples.

The book is aimed primarily at advanced undergraduate and graduate students in the social, behavioral, health sciences, and related disciplines, taking a first course in linear regression. It could also be used for self-study, and would make an excellent reference for any researcher in these fields. The R code and detailed examples provided throughout the book equip the reader with an excellent set of tools for conducting research on numerous social and behavioral phenomena.

商品描述(中文翻譯)

社會科學和行為科學的研究已經受益於線性回歸模型（LRMs）數十年，以識別和理解一組解釋變數與結果變數之間的關聯。線性回歸模型：在 R 中的應用為您提供了這些模型的全面介紹，以及如何使用 R 軟體環境來估計它們的不可或缺的指導。

在提供一些背景資料後，作者解釋了如何在 R 中估計簡單和多重的 LRMs，包括如何解釋其係數和理解其假設。幾個章節詳細描述了這些假設，並解釋了如何確定它們是否滿足，以及如果不滿足，如何修改回歸模型。該書還包括有關指定正確模型、調整測量誤差、理解影響觀察值的影響以及使用多層次數據的模型的章節。最後一章介紹了一種替代模型 - 邏輯回歸 - 專為二元或兩類結果變數設計。該書還包括附錄，討論數據管理和缺失數據，並提供 R 中的模擬以測試模型假設。

特點

 

 

 

 

 


  • 提供了對線性回歸模型的徹底介紹和詳細信息，包括如何理解和解釋其結果、測試假設以及在假設不滿足時如何調整模型。

  • 使用 R 中的眾多圖形來說明模型的結果、假設和其他特徵。

  • 不假設具備微積分或線性代數的背景；而是，初級統計課程和對基本代數的熟悉程度就足夠了。

  • 提供許多使用與各學術學科相關的真實世界數據集的例子。

  • 在其眾多例子中完全整合 R 軟體環境。

該書主要針對社會、行為、健康科學及相關學科的高年級本科生和研究生，作為線性回歸的第一門課程。它也可以用於自學，並且對於這些領域的任何研究者來說都是一個極好的參考資料。書中提供的 R 代碼和詳細示例為讀者提供了一套優秀的工具，以進行對眾多社會和行為現象的研究。

作者簡介

John P. Hoffmann is a professor of sociology at Brigham Young University. He holds a PhD in Criminology from the State University of New York at Albany and a Masters of Public Health (MPH) from Emory University. He has worked at the U.S. Centers for Disease Control and Prevention (CDC) and the National Opinion Research Center (NORC) of the University of Chicago; and taught at Hokkaido University and the University of South Carolina. Hoffmann is the author of more than 100 journal articles and book chapters and 10 books on applied statistics, criminology, and the sociology of religion.

作者簡介(中文翻譯)

約翰·P·霍夫曼（John P. Hoffmann）是布里格姆楊大學（Brigham Young University）的社會學教授。他擁有紐約州立大學奧爾巴尼分校（State University of New York at Albany）的犯罪學博士學位，以及埃默里大學（Emory University）的公共衛生碩士學位（MPH）。他曾在美國疾病控制與預防中心（CDC）和芝加哥大學國家意見研究中心（NORC）工作，並在北海道大學和南卡羅來納大學任教。霍夫曼是超過100篇期刊文章和書籍章節的作者，以及10本關於應用統計學、犯罪學和宗教社會學的書籍。

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