Charles E. Mc Culloch, Ph D, is Professor and Head of the
Division of Biostatistics in the School of Medicine at the
University of California, San Francisco. A Fellow of the American
Statistical Association, Dr. Mc Culloch is the author of numerous
published articles in the areas of longitudinal data analysis,
generalized linear mixed models, and latent class models and their
applications.
Shayle R. Searle, Ph D, is Professor Emeritus in the
Department of Biological Statistics and Computational Biology at
Cornell University. Dr. Searle is the author of Linear
Models, Linear Models for Unbalanced Data, Matrix
Algebra Useful for Statistics, and Variance Components,
all published by Wiley.
John M. Neuhaus, Ph D, is Professor of Biostatistics in
the School of Medicine at the University of California, San
Francisco. A Fellow of the American Statistical Association and the
Royal Statistical Society, Dr. Neuhaus has authored or coauthored
numerous journal articles on statistical methods for analyzing
correlated response data and assessments on the effects of
statistical model misspecification.
1 द्वारा ईबुक John M. Neuhaus
Charles E. McCulloch & Shayle R. Searle: Generalized, Linear, and Mixed Models
An accessible and self-contained introduction to statistical models-now in a modernized new edition Generalized, Linear, and Mixed Models, Second Edition provides an up-to-date treatment of the essen …
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