Trends and Challenges in Categorical Data Analysis: Statistical Modelling and Interpretation

Kateri, Maria, Moustaki, Irini

Trends and Challenges in Categorical Data Analysis: Statistical Modelling and Interpretation
  • 出版商: Springer
  • 出版日期: 2024-07-10
  • 售價: $7,580
  • 貴賓價: 9.5 折 $7,201
  • 語言: 英文
  • 頁數: 315
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031311884
  • ISBN-13: 9783031311888
  • 相關分類: Data Science

    • 海外代購書籍(需單獨結帳)

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商品描述

This book provides a selection of modern and sophisticated methodologies for the analysis of large and complex univariate and multivariate categorical data. It gives an overview of a substantive and broad collection of topics in the analysis of categorical data, including association, marginal and graphical models, time series and fixed effects models, as well as modern methods of estimation such as regularization, Bayesian estimation and bias reduction methods, along with new simple measures for model interpretability. Methodological innovations and developments are illustrated and explained through real-world applications, together with useful R packages, allowing readers to replicate most of the analyses using the provided code. The applications span a variety of disciplines, including education, psychology, health, economics, and social sciences.

商品描述(中文翻譯)

本書提供了一系列現代且精緻的方法論，用於分析大型且複雜的單變量和多變量類別數據。它概述了類別數據分析中一系列實質性且廣泛的主題，包括關聯、邊際和圖形模型、時間序列和固定效應模型，以及現代估計方法，如正則化、貝葉斯估計和偏差減少方法，並提供了新的簡單指標以提高模型的可解釋性。方法論的創新和發展通過實際應用進行說明和解釋，並附有有用的 R 套件，讓讀者能夠使用提供的代碼重現大部分分析。這些應用涵蓋了多個學科，包括教育、心理學、健康、經濟學和社會科學。

作者簡介

Maria Kateri is a professor of Statistics and Stochastic Modelling at the RWTH Aachen University. Her expertise is mainly in the areas of categorical data analysis and reliability. She has contributed in the analysis for contingency tables and modelling of ordinal data, employing tools of statistical information theory, algebraic statistics and Bayesian approaches. Moreover, she works on accelerated life testing under censoring, being also involved in Engineering Applications.

Irini Moustaki is a professor of Statistics at the London School of Economics and Political Science. Her research interests are in the areas of latent variable models and structural equation models. Her methodological work includes treatment of missing data, longitudinal data, detection of outliers, goodness-of-fit tests and advanced estimation methods. She has made methodological and applied contributions in the areas of comparative cross-national studies and epidemiological studies on rare diseases.

作者簡介(中文翻譯)

Maria Kateri 是亞琛工業大學的統計學與隨機建模教授。她的專長主要在於類別數據分析和可靠性。她在應用統計信息理論、代數統計和貝葉斯方法進行的應急表分析和序數數據建模方面做出了貢獻。此外，她還從事在審查下的加速壽命測試，並參與工程應用。

Irini Moustaki 是倫敦政治經濟學院的統計學教授。她的研究興趣集中在潛在變量模型和結構方程模型領域。她的方法論工作包括缺失數據處理、縱向數據分析、異常值檢測、擬合優度測試和先進的估計方法。她在比較跨國研究和罕見疾病的流行病學研究方面做出了方法論和應用貢獻。

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