Correlated Data Analysis: Modeling, Analytics, and Applications (Springer Series in Statistics)

Description

This book presents some recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to handle a broader range of data types than those analyzed by traditional generalized linear models. One example is correlated angular data.

This book provides a systematic treatment for the topic of estimating functions. Under this framework, both generalized estimating equations (GEE) and quadratic inference functions (QIF) are studied as special cases. In addition to marginal models and mixed-effects models, this book covers topics on joint regression analysis based on Gaussian copulas and generalized state space models for longitudinal data from long time series.

Various real-world data examples, numerical illustrations and software usage tips are presented throughout the book. This book has evolved from lecture notes on longitudinal data analysis, and may be considered suitable as a textbook for a graduate course on correlated data analysis. This book is inclined more towards technical details regarding the underlying theory and methodology used in software-based applications. Therefore, the book will serve as a useful reference for those who want theoretical explanations to puzzles arising from data analyses or deeper understanding of underlying theory related to analyses.



$$ Buy "Correlated Data Analysis: Modeling, Analytics, and Applications (Springer Series in Statistics)" on Amazon $$

Please check the description for download links if any or do a search to find alternative books.

Can't Download?
Please search mirrors if you can't find download links for "Correlated Data Analysis: Modeling, Analytics, and Applications (Springer Series in Statistics)" in "Description" and someone else may update the links. Check the comments when back to find any updates.

Search Mirrors
Maybe some mirror pages will be helpful, search this book at top of this page or click here to find more info.

1. Ebooks list page : 1083
2. Correlated Data Analysis: Modeling, Analytics, and Applications (Springer Series in Statistics)
3. Correlated Data Analysis: Modeling, Analytics, and Applications (Springer Series in Statistics)
4. Correlated Data Analysis: Modeling, Analytics, and Applications (Springer Series in Statistics)
5. Correlated Data Analysis: Modeling, Analytics, and Applications (Springer Series in Statistics)
6. Modeling Longitudinal Data (Springer Texts in Statistics)
7. JMP Start Statistics: A Guide to Statistics and Data Analysis Using Jmp, Fourth Edition (Sas Press Series)
8. The Design and Analysis of Computer Experiments (Springer Series in Statistics)
9. The Design and Analysis of Computer Experiments (Springer Series in Statistics)
10. The Design and Analysis of Computer Experiments (Springer Series in Statistics)
11. The Design and Analysis of Computer Experiments (Springer Series in Statistics)
12. Mathematical Statistics (Springer Series in Statistics)
13. Mathematical Statistics (Springer Series in Statistics)
14. Longitudinal Data Analysis (Wiley Series in Probability and Statistics)
15. Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives (Wiley Series in Probability and Statistics)
16. Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives (Wiley Series in Probability and Statistics)