| 期刊全称 | All of Statistics | | 期刊简称 | A Concise Course in | | 影响因子2023 | Larry Wasserman | | 视频video | | | 发行地址 | Provides a concise introduction to a larger number of topics than are usually included in a graduate-level mathematical statistics class | | 学科分类 | Springer Texts in Statistics | | 图书封面 |  | | 影响因子 | Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. .The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data. . | | Pindex | Textbook 2004 |
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发表于 2025-3-21 19:48:46
