All of Statistics

All of Statistics is a comprehensive textbook that covers a wide range of topics in probability theory and statistics. It is aimed at students of computer science, mathematics, statistics, and related disciplines who wish to gain a quick and effective understanding of these concepts. The book goes beyond the basics and addresses modern topics such as nonparametric curve fitting, bootstrapping, and classification, which are often not covered in many introductory courses. It is assumed that readers have knowledge of calculus and basic linear algebra, but no prior knowledge of probability and statistics is required. The content is designed to enable readers to collect and analyze data, which is central to the fields of statistics, data analysis, and machine learning.