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

A practical approach to using regression and computation to solve real-world problems of estimation, prediction, and causal inference.

In a conversational tone, Regression & Linear Modeling provides conceptual, user-friendly coverage of the generalized linear model (GLM). Readers will become fa

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

"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the