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

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...

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Bergsma, Wicher (Auteur), Croon, Marcel A. (Auteur), Hagenaars, Jacques A. (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: New York, NY : Springer New York : Imprint: Springer, 2009.
Édition:1st ed. 2009.
Collection:Statistics for Social and Behavioral Sciences,
Sujets:
System theory.
Control theory.
Statistics .
Social sciences-Statistical methods.
Systems Theory, Control .
Statistical Theory and Methods.
Statistics in Business, Management, Economics, Finance, Insurance.
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Accès en ligne:Texto Completo
Table des matières:
  • 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.

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