Description:
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.
Brief description: Lawrence Leemis, PhD, is a professor in the Department of Mathematics at The College of William & Mary.He has written nine books, won 12 teaching awards, and published over 100 journal articles, book chapters, and proceedings papers. He has consulted for severaldozen government, corporate, and non-profit entities.