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

"This book fits right into a needed niche: rigorous enough to give full explanation of the power of the S language, yet accessible enough to assign to social sc

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

This text covers both multiple linear regression and some experimental design models. The text uses the response plot to visualize the model and to detect outli

Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Inste