All of Statistics: A Concise Course in Statistical Inference (...

\"All of Statistics\" lives up to its title by offering a comprehensive overview of the field, covering a broader range of topics than typical introductory texts on mathematical statistics. While the title may seem exaggerated at first glance, the book\'s depth and breadth make it an invaluable resource for those seeking to learn probability and statistics quickly and effectively.

Designed for graduate students and advanced undergraduates in computer science, mathematics, statistics, and related disciplines, this book provides a solid foundation in modern statistical methods. It includes advanced topics such as non-parametric curve estimation, bootstrapping, and classification—subjects often reserved for follow-up courses—making it suitable for readers aiming to deepen their understanding of current techniques.

The book presumes that readers have a background in calculus and a little linear algebra, but no prior knowledge of probability and statistics is necessary. Its focus aligns with the core concerns of statistics, data mining, and machine learning: collecting and analyzing data. This makes \"All of Statistics\" an accessible yet thorough resource for those interested in mastering the essentials of the field.

• Series Title: Springer Texts in Statistics
• Author: Larry Wasserman
• Genre: Mathematics
• Format: Hardcover
• Language: English
• Publication Date: 2003
• Edition: First Edition
• Pages: 468