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All of statistics : a concise course in statistical inference / Larry Wasserman.

Van Pelt Library QA276.12 .W37 2003
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Holman Biotech Commons QA276.12 .W37 2004
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Format:
Book
Author/Creator:
Wasserman, Larry, 1959-
Contributor:
Hazel M. Hussong Fund.
Series:
Springer texts in statistics
Language:
English
Subjects (All):
Mathematical statistics.
Statistics as Topic.
Medical Subjects:
Statistics as Topic.
Physical Description:
xix, 442 pages : illustrations ; 25 cm.
Place of Publication:
New York : Springer, [2004]
Summary:
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.
Notes:
Includes bibliographical references (pages [423]-430) and index.
Local Notes:
Acquired for the Penn Libraries with assistance from the Hazel M. Hussong Fund.
ISBN:
0387402721
OCLC:
52901588

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