eBook - PDF
Analysis of Mixed Data
Methods & Applications
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- 262 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Book details
Table of contents
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About This Book
A comprehensive source on mixed data analysis, Analysis of Mixed Data: Methods & Applications summarizes the fundamental developments in the field. Case studies are used extensively throughout the book to illustrate interesting applications from economics, medicine and health, marketing, and genetics. Carefully edited for smooth readability and
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Yes, you can access Analysis of Mixed Data by Alexander R. de Leon, Keumhee Carriere Chough in PDF and/or ePUB format, as well as other popular books in Mathématiques & Probabilités et statistiques. We have over one million books available in our catalogue for you to explore.
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Table of contents
- Front Cover
- Dedication
- Contents
- Preface
- Editors
- Contributors
- List of Figures
- List of Tables
- 1. Analysis of mixed data: An overview
- 2. Combining univariate and multivariate random forests for enhancing predictions of mixed outcomes
- 3. Joint tests for mixed traits in genetic association studies
- 4. Bias in factor score regression and a simple solution
- 5. Joint modeling of mixed count and continuous longitudinal data
- 6. Factorization and latent variable models for joint analysis of binary and continuous outcomes
- 7. Regression models for analyzing clustered binary and continuous outcomes under the assumption of exchangeability
- 8. Random effects models for joint analysis of repeatedly measured discrete and continuous outcomes
- 9. Hierarchical modeling of endpoints of different types with generalized linear mixed models
- 10. Joint analysis of mixed discrete and continuous outcomes via copula models
- 11. Analysis of mixed outcomes in econometrics: Applications in health economics
- 12. Sparse Bayesian modeling of mixed econometric data using data augmentation
- 13. Bayesian methods for the analysis of mixed categorical and continuous (incomplete) data
- Bibliography