Statistical Regression and Classification: From Linear Models to Machine Learning takes an innovative look at the traditional statistical regression course, pre
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need
Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially ordered, and unordered
Bridging the gap between research and application, Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference provides a concise, and integrated acc
Written for those who have taken a first course in statistical methods, this book takes a modern, computer-oriented approach to describe the statistical techniq
