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D�tails bibliographiques

Titre: All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
�diteur: Springer
Date de parution: 2003
Langue: anglais
ISBN � 10 chiffres: 0387402721
ISBN � 13 chiffres: 9780387402727
Reliure: Couverture rigide
�tat de l'article: Acceptable

A propos de ce titre

Synopsis

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.

� propos de l?auteur

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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Description de la librairie

This book is being offered by Goodwill, a non-profit organization. All funds raised are used to support the Goodwill which provides quality, effective employment training and basic education to individuals experiencing significant barriers to economic opportunity. Because Jobs Change Lives. Proceeds from the sale of these goods and financial donations from the community make it possible for us to operate our free job training programs. Your donations and purchases help support these important programs and make the community a better place for all of us.

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