Can I read All of Statistics: A Concise Course in Statistical Inference (draft) (Springer Texts in Statistics) on EtoBox?

All of Statistics: A Concise Course in Statistical Inference (draft) (Springer Texts in Statistics) by Larry Wasserman; Larry Alan Wasserman is a nonfiction available to read on EtoBox.

What is All of Statistics: A Concise Course in Statistical Inference (draft) (Springer Texts in Statistics) about?

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 reche

Who reads All of Statistics: A Concise Course in Statistical Inference (draft) (Springer Texts in Statistics)?

Author

Larry Wasserman; Larry Alan Wasserman

Publisher

Springer US

Published

2003

Language

EN

ISBN

9781441923226

Category

nonfiction

Subjects

Computer Science, Science, Mathematics

Rating

4.21 / 5 (134 ratings)

Updated

2026-03-14