Description: 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.
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Subject Area: Mathematics, Science
Publication Name: All of Statistics: A Concise Course in Statistical Inference USA
Publisher: Springer New York
Item Length: 9.3 in
Subject: Probability & Statistics / General, Numerical Analysis, System Theory
Publication Year: 2010
Series: Springer Texts in Statistics Ser.
Type: Textbook
Format: Trade Paperback
Language: English
Author: Larry Wasserman
Item Weight: 50.8 Oz
Item Width: 6.1 in