Interaction Effects in Linear and Generalized Linear Models

Explore the intricate world of statistics with Interaction Effects in Linear and Generalized Linear Models by Robert L. Kaufman. Published by SAGE Publications Inc in 2019, this hardback edition spans an impressive 608 pages and serves as an essential resource for understanding interaction effects in statistical models.

This comprehensive text is designed to be both informative and accessible, offering a clear set of workable examples, complete with data and detailed explanations. Kaufman's unified approach enables readers to effectively interpret interaction effects, making it a valuable addition for students and professionals alike in the fields of mathematical statistics and regression analysis.

Whether you are delving into linear models or generalized linear models, this book provides the tools and insights needed to enhance your statistical analysis skills. Don't miss the opportunity to deepen your understanding of this crucial aspect of statistical modeling!