Log-Linear Modeling: Concepts, Interpretation, and Application

Log Linear Modeling Concepts Interpretation and Application An easily accessible introduction to log linear modeling for non statisticiansHighlighting advances that have lent to the topic s distinct coherent methodology over the past decade Log Linear Modeli

  • Title: Log-Linear Modeling: Concepts, Interpretation, and Application
  • Author: Alexander von Eye Eun-Young Mun
  • ISBN: 9781118146408
  • Page: 376
  • Format: Hardcover
  • An easily accessible introduction to log linear modeling for non statisticiansHighlighting advances that have lent to the topic s distinct, coherent methodology over the past decade, Log Linear Modeling Concepts, Interpretation, and Application provides an essential, introductory treatment of the subject, featuring many new and advanced log linear methods, models, and appAn easily accessible introduction to log linear modeling for non statisticiansHighlighting advances that have lent to the topic s distinct, coherent methodology over the past decade, Log Linear Modeling Concepts, Interpretation, and Application provides an essential, introductory treatment of the subject, featuring many new and advanced log linear methods, models, and applications.The book begins with basic coverage of categorical data, and goes on to describe the basics of hierarchical log linear models as well as decomposing effects in cross classifications and goodness of fit tests Additional topics include The generalized linear model GLM along with popular methods of coding such as effect coding and dummy coding Parameter interpretation and how to ensure that the parameters reflect the hypotheses being studied Symmetry, rater agreement, homogeneity of association, logistic regression, and reduced designs models Throughout the book, real world data illustrate the application of models and understanding of the related results In addition, each chapter utilizes R, SYSTAT R , and EM software, providing readers with an understanding of these programs in the context of hierarchical log linear modeling.Log Linear Modeling is an excellent book for courses on categorical data analysis at the upper undergraduate and graduate levels It also serves as an excellent reference for applied researchers in virtually any area of study, from medicine and statistics to the social sciences, who analyze empirical data in their everyday work.

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