Univariate and Multivariate General Linear Models

Discover the essential guide to statistical modeling with "Univariate and Multivariate General Linear Models" by Kevin Kim, published by Taylor & Francis in 2006. This comprehensive textbook spans 549 pages, offering in-depth analyses of both simple and complex models. It skillfully employs datasets from diverse fields, including social and behavioral sciences, making it an invaluable resource for students and professionals alike.

This latest edition introduces two new chapters focused on finite intersection tests and power analysis, showcasing the experimental GLMPOWER procedure. Furthermore, it expands on the foundational theory of unrestrained and restrained models, ensuring you gain a solid understanding of linear models in statistical research. Whether you are delving into data processing or enhancing your knowledge in probability and statistics, this book serves as a vital reference in your statistical toolkit.