Marginal models : for dependent, clustered, and longitudinal categorical data / Wicher Bergsma, Marcel Croon, Jacques A. Hagenaars.
By: Bergsma, Wicher P
.
Contributor(s): Croon, Marcel A
| Hagenaars, Jacques A
.
Material type: 



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EWU Library E-book | Non-fiction | 300.15118 BEM 2009 (Browse shelf) | Not For Loan | ||||
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EWU Library Circulation Section | Non-fiction | 300.15118 BEM 2009 (Browse shelf) | C-3 | Available | 26889 |
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294.34 BAB 1998 Buddhism without beliefs : | 297.265 IQS 2007 Science and islam / | 300.14 FAA 2003 Analysing discourse : | 300.15118 BEM 2009 Marginal models : | 300.285536 BRQ 2005 Quantitative data analysis with SPSS 12 and 13 : | 300.72 The A-Z of social research : | 300.72 BAP 1989 The practice of social research / |
Includes bibliographical references and index.
Table of contents 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
Marginal models are often the best way of answering research questions involving dependent observations. This comprehensive overview of the basic principles of marginal modeling offers a wide range of possible applications through many real world examples.
Applied Statistics
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