Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Austrian Post 5.49 € GLS courier 4.99 € DPD courier 4.49 € DPD point 3.49 €

Contact

How to shop

Help

My account

▸ Empty :-(

All of Statistics

Name: All of Statistics
Brand: Springer-Verlag New York Inc.
SKU: 01251925
Price: 69.79 EUR
Availability: InStock
Author: Larry Wasserman
ISBN: 9780387402727

Larry Wasserman

Language

English

Book Hardback

Libristo code: 01251925

Publishers Springer-Verlag New York Inc., September 2004

WINNER OF THE 2005 DEGROOT PRIZE!§This book is for people who want to learn probability and statisti... Full description

Libristo code: 01251925

171 b

69.79 € VAT included

In stock at our supplier Shipping in 10-13 days

Delivery to Austria

Up to 30 days for returns

Customers also purchased

All of Statistics Larry Wasserman

Paperback

56.89 €

Concrete Mathematics Ronald Graham

Hardback

79.39 €

Distributed Systems Maarten Van Steen

Paperback

35.99 €

Database Internals Alex Petrov

Paperback

47.19 €

Introduction to Probability, Second Edition Blitzstein

Hardback

111.89 €

Everything You Need to Ace Pre-Algebra and Algebra I in One Big Fat Notebook Jason Wang

Paperback

12.89 €

Everything You Need to Ace Math in One Big Fat Notebook Altair Peterson

Paperback

12.89 €

Student's Solutions Guide for Introduction to Probability, Statistics, and Random Processes Hossein Pishro-Nik

Paperback

17.29 €

Everything You Need to Ace Computer Science and Coding in One Big Fat Notebook Grant Smith

Hardback

12.49 €

Everything You Need to Ace Geometry in One Big Fat Notebook Christy Needham

Paperback

12.89 €

Probability with Martingales Williams

Paperback

56.39 €

Crafting Interpreters Robert Nystrom

Paperback

42.99 €

WINNER OF THE 2005 DEGROOT PRIZE!§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.§