By (author) Kupper, Lawrence L.; By (author) Neelon, Brian H.; By (author) O'Brien, Sean M.
Designed for teaching a course in statistical theory in a variety of disciplines, including statistics, biostatistics, mathematics, engineering, physics, computer science, and psychometrics, this book contains two main sections: Probability and Distribution Theory and Statistical Inference. The first contains exercises and selected solutions in probability theory, univariate distribution theory, and multivariate distribution theory. The second contains exercises and selected solutions in estimation theory and hypothesis testing theory. The exercises vary in difficulty from basic to intermediate to advanced and solutions for about half the exercises are included, with a separate solutions manual with detailed solutions made available for instructors.