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Marginal models: for dependent, clustered, and longitudinal categorical data
Material type:
TextSeries: Statistics for social and behavorial sciencesPublication details: 2009 Springer Science+Business Media New YorkDescription: xi, 268 p. : ill. ; 24 cmISBN: - 9780387096094
- 300.15118 B3M2
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
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Ahmedabad | 300.15118 B3M2 (Browse shelf(Opens below)) | Available | 172300 |
Total holds: 0
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| 300.151 J2L4 Lisrel approaches to interaction effects in multiple regression | 300.151 M3A7 Applied multivariate research: design and interpretation | 300.151 M3A7 Applied multivariate research: design and interpretation | 300.15118 B3M2 Marginal models: for dependent, clustered, and longitudinal categorical data | 300.15118 K2S8 Structural equation modeling: foundations and extensions | 300.1518282 C2M6 Monte Carlo simulation and resampling methods for social science | 300.151932 B7G2 Game theory and the humanities: bridging two worlds |
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 dependent observations are involved, as the many real world examples in this book show. (http://www.springer.com/statistics/statistical+theory+and+methods/book/978-0-387-09609-4)
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