This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearson.com/statistics

This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.

Noted for its model-comparison approach and unified framework based on the general linear model (GLM), this classic text provides readers with a greater underst

This book provides the most comprehensive and up-to-date account of regression methods to explain the frequency of events.

Despite the recent rapid growth in machine learning and predictive analytics, many of the statistical questions that are faced by researchers and practitioners