All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics) Paperback - 2010
by Wasserman, Larry
- Used
- very good
- Paperback
A$79.24
A$16.39
Delivery to USA
Standard delivery: 7 to 40 days
More delivery options
Standard delivery: 7 to 40 days
Ships from World of Books Ltd (West Sussex, United Kingdom)
Details
- Title All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
- Author Wasserman, Larry
- Binding Paperback
- Condition Used - Very good
- Pages 442
- Volumes 1
- Language ENG
- Publisher Springer, Pittsburgh, Pennsylvania
- Publication date 2010-12-01
- Bookseller's Inventory # GOR010443413
- ISBN 9781441923226 / 1441923225
- Weight 1.43 lbs (0.65 kg)
- Dimensions 9.21 x 6.14 x 0.94 in (23.39 x 15.60 x 2.39 cm)
- Category Mathematics
- Dewey Decimal Code 005.55
- Quantity available 1
About World of Books Ltd West Sussex, United Kingdom
Biblio member since 2007
In 2002, World of Books was founded on an ethos to do good, protect the planet, and support charities by enabling more goods to be reused. Since then, we've grown into a global pioneer, dedicated to helping people read more and waste less. Through the World of Books brand, customers can now buy and sell with us! We provide affordable, preloved books to book lovers all around the world, while also giving people the opportunity to contribute to the circular economy, earn money and protect the planet by trading in their unwanted books and media for cash. Through the B2B side of our business we've developed technology to help charities sell in bulk, meaning they can clear much needed floor space and make money for great causes at the same time. A new book will be sold once but their stories can be enjoyed by more than one owner. After all, a story doesn't change because it's been read before!
If you are not completely satisfied with your purchase for any reason, simply email customerservice@worldofbooks.com and we will quickly resolve any issues you may have. If you have any other queries about your order, please email customerservice@worldofbooks.com. Our goal is to deliver to our customers the best possible service and we hope your experience of dealing with us lives up to our promise. If for whatever reason we fail to meet your expectations then please let us know.
Reader reviews for All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
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
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.
