Generalized, Linear, and Mixed Models

Discover the essential resource for modern statistical analysis with the second edition of Generalized, Linear, and Mixed Models by Charles E. McCulloch, published by John Wiley & Sons Inc in 2008. This comprehensive 424-page guide offers a unified and accessible approach to the latest statistical methods designed for analyzing correlated and non-normally distributed data. Ideal for both applications-oriented users of statistical software and graduate students pursuing studies in statistics, this book provides a self-contained treatment that meets the needs of a diverse audience. Dive into the world of linear models and enhance your understanding of probability and statistics with this invaluable text that bridges the gap between theory and practical application.