Master the essentials of statistical inference with "All of Statistics: A Concise Course in Statistical Inference" by Larry Wasserman. This comprehensive hardcover book is designed for a quick and thorough understanding of probability and statistics, suitable for graduate and advanced undergraduate students. It covers modern topics like non-parametric curve estimation, bootstrapping, and classification, making it a valuable resource for those in computer science, mathematics, statistics, and related fields. No prior knowledge of probability and statistics is assumed, beyond basic calculus and linear algebra. Statistics, data mining, and machine learning are all concerned with collecting and analysing data. Key Features: * Concise yet broad coverage of statistical inference topics. * Includes modern statistical techniques. * Suitable for students with a calculus and linear algebra background. * Authored by Larry Wasserman. This book is an excellent choice for anyone seeking to quickly learn probability and statistics.