Marginal Models For Dependent, Clustered, and Longitudinal Categorical Data /

• Κύριοι συγγραφείς: Hagenaars, Jacques A. (Συγγραφέας), Croon, Marcel A. (Συγγραφέας), Bergsma, Wicher (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York, 2009.
• Σειρά: Statistics for Social and Behavioral Sciences
• Θέματα: Mathematics.; System theory.; Statistics.; Systems Theory, Control.; Statistical Theory and Methods.; Statistics for Business/Economics/Mathematical Finance/Insurance.; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.

Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answering important research questions when depen...

Πίνακας περιεχομένων:

• Loglinear Marginal Models
• Nonloglinear Marginal Models
• Marginal Analysis of Longitudinal Data
• Causal Analyses: Structural Equation Models and (Quasi-)Experimental Designs
• Marginal modeling with latent variables
• Conclusions, Extensions, and Applications.