Mixed Models : Theory and Applications

This timely and state-of-the-art topic is covered comprehensively in this book. Providing a complete and in-depth mathematical coverage of the topic - linear, generalized linear, and nonlinear mixed models, along with diagnostics - the book has dual appeal as both a graduate-level text and a reference. Special attention is given to algorithms and their implementations and several appendices make the text self-contained.

EUGENE DEMIDENKO, PhD, is presently Associate Professor of Biostatistics and Epidemiology at the Dartmouth (NH) Medical School. He received his PhD in Mathematics and Statistics from the Central Institute of Economics and Mathematics of the Academy of Sciences of the USSR. His research interests cover a broad range of theoretical and computational statistics as applicable to bioengineering and cancer-related areas. He has served as an invited lecturer to several institutes/academies around the world.