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All of Statistics: a Concise Course in Statistical Inference
Author(s) -
Barber Stuart
Publication year - 2005
Publication title -
journal of the royal statistical society: series a (statistics in society)
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 1.103
H-Index - 84
eISSN - 1467-985X
pISSN - 0964-1998
ISBN - 1441923225
DOI - 10.1111/j.1467-985x.2004.00347_18.x
Subject(s) - citation , statistical inference , computer science , inference , statistical analysis , statistics , library science , information retrieval , mathematics , artificial intelligence
WINNER OF THE 2005 DEGROOT PRIZE! This book is for people who want to learn probability and statistics quickly. It brings together many of the main ideas in modern statistics in one place. The book is suitable for students and researchers in statistics, computer science, data mining and machine learning. This book covers a much wider range of topics than a typical introductory text on mathematical statistics. It includes modern topics like nonparametric curve estimation, bootstrapping and classification, topics that are usually relegated to follow-up courses. The reader is assumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. The text can be used at the advanced undergraduate and graduate level.