Advances in training models with log-linear structures, with topics including variable selection, the geometry of neural nets, and applications. Log-linear mode

Deftly balancing theory and application, this book stands out in its coverage of the derivation of the GLM families and their foremost links. This edition has n

Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the soci

"This book is remarkable in its accessible treatment of interaction effects. Although this concept can be challenging for students (even those with some backgro

Statistical Regression and Classification: From Linear Models to Machine Learning takes an innovative look at the traditional statistical regression course, pre