Linear and Generalized Linear Mixed Models and Their Applications

• Main Author: Jiang, Jiming (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2007.
• Series: Springer Series in Statistics,
• Subjects: Mathematics.; Public health.; Numerical analysis.; Probabilities.; Biomathematics.; Statistics.; Probability Theory and Stochastic Processes.; Statistical Theory and Methods.; Public Health.; Numerical Analysis.; Genetics and Population Dynamics.

This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models, and it presents an up-to-date account of theory and methods in analysis of these models as well as their applications in various fields. The book offers a systematic approach to infer...

Table of Contents:

• Linear Mixed Models: Part I
• Linear Mixed Models: Part II
• Generalized Linear Mixed Models: Part I
• Generalized Linear Mixed Models: Part II.