Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R - Rilegato

Roback, Paul; Legler, Julie

Rilegato

ISBN 10: 1439885389 ISBN 13: 9781439885383

Casa editrice: Chapman and Hall/CRC, 2020

Riassunto

Designed for advanced undergraduate or non-major graduate students in Advanced Statistical Modeling or Regression II as well as courses on Generalized Linear Models, Longitudinal Data Analysis, Correlated Data, or Multilevel Models, this text offers a unified discussion of generalized linear models and correlated data methods. It explores case studies involving real data and details material on R at the end of each chapter. A solutions manual is available for qualified instructors.

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Contenuti

Beyond Least Squares: Using Likelihoods to Fit and Compare Models. Modeling and Inference. Distribution Theory. Poisson Regression. Generalized Linear Models (GLMs): A Unifying Theory. Logistic Regression. Correlated Data. Repeated Measures. Introduction to Multilevel Models. Two Level Longitudinal Data. Multilevel Data with More Than Two Levels. Crossed Random Effects. Generalized Linear Mulilevel Models. Technical Issues in Multilevel Modeling.

Dettagli dell?edizione

• Editore: Chapman and Hall/CRC
• Data di pubblicazione: 2020
• ISBN 10: 1439885389
• ISBN 13: 9781439885383
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero edizione: 1
• Numero di pagine: 436