All of Statistics; A Concise Course in Statistical Inference
Wasserman, Larry
ISBN 10: 1441923225 ISBN 13: 9781441923226
Editore: Springer/Sci-Tech/Trade, 2010
Usato
Softcover
Da
Skoob-ebooks, Pontiac, QC, Canada
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Descrizione:
In good to very good condition. Modest wear. Clean pages with no highlighting or writing detected. The cover has minor marks or other blemishes and a little wear on the edges and corners. Satisfaction guaranteed with 30-day returns. Ships from Canada.; 154.94 X 1.06 X 234.95 inches; 442 pages; R4 102k/189k s23. Codice articolo 14535
Riassunto:
This book surveys a broad range of topics in probability and mathematical statistics. It provides the statistical background that a computer scientist needs to work in the area of machine learning.
Informazioni sull'autore: Larry Wasserman is Professor of Statistics at Carnegie Mellon University. He is also a member of the Center for Automated Learning and Discovery in the School of Computer Science. His research areas include nonparametric inference, asymptotic theory, causality, and applications to astrophysics, bioinformatics, and genetics. He is the 1999 winner of the Committee of Presidents of Statistical Societies Presidents' Award and the 2002 winner of the Centre de recherches mathematiques de Montreal–Statistical Society of Canada Prize in Statistics. He is Associate Editor of The Journal of the American Statistical Association and The Annals of Statistics. He is a fellow of the American Statistical Association and of the Institute of Mathematical Statistics.
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Titolo: All of Statistics; A Concise Course in ...
Casa editrice: Springer/Sci-Tech/Trade
Data di pubblicazione: 2010
Legatura: Softcover
Condizione: Good+