All of Statistics

A Concise Course in Statistical Inference
by Larry Wasserman
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eBook

Publisher: Springer New York

Series: Springer Texts in Statistics

Publication Date: March 07, 2016

ISBN: 9780387217369

Binding: Kobo eBook

Availability: eBook

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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.