Correlated Data Analysis: Modeling, Analytics, and Applications
Download or Read eBook Correlated Data Analysis: Modeling, Analytics, and Applications PDF written by Peter X. -K. Song and published by Springer Science & Business Media. This book was released on 2007-06-30 with total page 352 pages. Available in PDF, EPUB and Kindle.
| Author | : Peter X. -K. Song |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 352 |
| Release | : 2007-06-30 |
| ISBN-10 | : 9780387713939 |
| ISBN-13 | : 038771393X |
| Rating | : 4/5 (39 Downloads) |
Book Synopsis Correlated Data Analysis: Modeling, Analytics, and Applications by : Peter X. -K. Song
Book excerpt: This book covers 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 cover a broader range of data types than the traditional generalized linear models. The reader is provided with a systematic treatment for the topic of estimating functions, and both generalized estimating equations (GEE) and quadratic inference functions (QIF) are studied as special cases. In addition to the discussions on marginal models and mixed-effects models, this book covers new topics on joint regression analysis based on Gaussian copulas.
