All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)

Wasserman, Larry

ISBN 10: 1441923225 / ISBN 13: 9781441923226

Published by Springer (edition ), 2010

It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience. Seller Inventory # 1441923225-11-1

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.

About the Author: 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.

Bibliographic Details

Title: All of Statistics: A Concise Course in ...
Publisher: Springer (edition )
Publication Date: 2010
Binding: Paperback
Condition: Good