Correlated Data Analysis Modeling Analytics and Applications is popular PDF and ePub book, written by Peter X. -K. Song in 2007-06-30, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Correlated Data Analysis Modeling Analytics and Applications can be Read Online from any device for your convenience.
Correlated Data Analysis Modeling Analytics and Applications Book PDF Summary
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.
Detail Book of Correlated Data Analysis Modeling Analytics and Applications PDF
- Author : Peter X. -K. Song
- Release : 30 June 2007
- Publisher : Springer Science & Business Media
- ISBN : 9780387713939
- Genre : Mathematics
- Total Page : 352 pages
- Language : English
- PDF File Size : 17,9 Mb
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