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Springer Texts in Statistics: A Concise Course in Statistical Inference
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Springer Texts in Statistics: A Concise Course in Statistical Inference
Wasserman, Larry
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.
Details
Published by: Springer
Publication Date: 2003-12-04
Format: Hardcover
ISBN-13: 9780387402727
DOI: 10.1007/978-0-387-21736-9
Dimensions: 235cm x155cm
Pages: 442