All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)

著者 : LarryWasserman

• Springer (2003年12月4日発売)

作品紹介・あらすじ

WINNER OF THE 2005 DEGROOT PRIZE! This book is for people who want to learn probability and statistics quickly. It brings together many of the main ideas in modern statistics in one place. The book is suitable for students and researchers in statistics, computer science, data mining and machine learning. This book covers a much wider range of topics than a typical introductory text on mathematical statistics. It includes modern topics like nonparametric curve estimation, bootstrapping and classification, topics that are usually relegated to follow-up courses. The reader is assumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. The text can be used at the advanced undergraduate and graduate level.

感想・レビュー・書評

[statgenetKyotoUさんの感想 · 2019年1月18日]

helpful for broad but not deep coverage of statistics
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