Handbook Of Regression Methods (Hb 2017) Hardcover

The "Handbook of Regression Methods" offers a concise yet comprehensive overview of a wide array of regression techniques, from traditional to modern and less common approaches. It provides a broad understanding of regression models, diagnostic tools, and inference methods, with a strong focus on practical application. Its structure is designed to benefit both professionals seeking quick insights into regression methods for specific problems and researchers aiming to broaden their knowledge across various regression topics. This handbook covers fundamental concepts of simple and multiple linear regression, including their underlying assumptions, effective ways to visualize the data, and inference procedures. It also presents an overview of advanced diagnostic tests, strategies for improving models, and methods for selecting the best model. Furthermore, numerous chapters explore a diverse range of specialized topics such as regression for censored data, nonlinear regression, generalized linear models, and semiparametric regression.