Lectures on Advanced Topics in Categorical Data Analysis
This book continues the mission of the previous text by the author, Lectures on Categorical Data Analysis, by expanding on the introductory concepts from that volume and providing a mathematically rigorous presentation of advanced topics and current research in statistical techniques which can be ap...
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
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Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Ausgabe: | 1st ed. 2024. |
| Schriftenreihe: | Springer Texts in Statistics,
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| Online-Zugang: | https://doi.org/10.1007/978-3-031-55855-9 |
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Inhaltsangabe:
- 1. Introduction
- 2. Undirected graphical models
- 3. Directed graphical models
- 4. Marginal models: definition
- 5. Marginal log-linear models: applications
- 6. Path models
- 7. Relational models: definition and interpretation
- 8. Relational models as exponential families
- 9. Relational models: estimation and testing
- 10. Model testing
- 11. The mixture index of fit.