Click to view full size.
All of Statistics: A Concise Course in Statistical Inference Hardback - 2004
by Larry Wasserman
- New
- Paperback
On sale A$59.10 (was A$65.66 )
Free Delivery to USA
Standard delivery: 7 to 15 days
More delivery options
Standard delivery: 7 to 15 days
Ships from Anaira Enterprises (Andaman and Nicobar Islands, India)
On sale
More books like this are on offer from Anaira Enterprises at 10% off.
Details
- Title All of Statistics: A Concise Course in Statistical Inference
- Author Larry Wasserman
- Binding Paperback
- Edition International Ed
- Condition New
- Pages 442
- Volumes 1
- Language ENG
- Publisher Springer, New Delhi
- Publication date September 17, 2004
- Features Bibliography, Index
- Bookseller's Inventory # AllofStatistics
- ISBN 9780387402727 / 0387402721
- Weight 1.73 lbs (0.78 kg)
- Dimensions 9.28 x 6.6 x 1.05 in (23.57 x 16.76 x 2.67 cm)
- Category Mathematics
- Library of Congress subjects Mathematical statistics
- Library of Congress Catalogue Number 2003062209
- Dewey Decimal Code 005.55
- Quantity available 10
About Anaira Enterprises Andaman and Nicobar Islands, India
Biblio member since 2023
Brand new books at best whole-sale price.
Reader reviews for All of Statistics: A Concise Course in Statistical Inference
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information
From the publisher
First line
HASH(0x10abb380)
From the rear cover
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.
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.
