Statistical Modeling provides an introduction to

regression, survival analysis, and time series analysis

for students who have completed calculus-based courses

in probability and mathematical statistics.

The book uses the R language to fit statistical models,

conduct Monte Carlo simulation experiments, and generate graphics.

Over 300 exercises at the end of the chapters make this

an appropriate text for a class in statistical modeling.

This book is an open educational resource.