All of Statistics: A Concise Course in Statistical Inference
暫譯: 統計學全書：統計推論簡明課程

Larry Wasserman

All of Statistics: A Concise Course in Statistical Inference

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商品描述

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. 

商品描述(中文翻譯)

字面上來看，書名「所有統計」是一種誇張。但從精神上來說，這個書名是恰當的，因為這本書涵蓋的主題範圍比典型的數學統計入門書要廣泛得多。這本書適合那些想要快速學習機率和統計的人。它適合計算機科學、數學、統計及相關學科的研究生或高年級本科生。

這本書包括現代主題，如非參數曲線估計、重抽樣（bootstrapping）和分類，這些主題通常被 relegated 到後續課程中。讀者應該具備微積分和一些線性代數的知識。不需要具備先前的機率和統計知識。統計、資料探勘和機器學習都與收集和分析數據有關。

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