Principles of Statistical Analysis (Institute of Mathematical Statistics Textbooks)

Arias-Castro, Ery

ISBN 10: 1108747442 / ISBN 13: 9781108747448

Published by Cambridge University Press, 2022

About this Item

In nearly new condition: firm and square with strong joints, no creases. Just a few hardly noticeable rubs or very mild bumps. Hence a non-text page shows a small 'damaged' stamp. Despite such this book looks and feels unread. Thus the contents are crisp, fresh and tight. And so a very nice book in great condition, now offered for sale at a reasonable price.

Seller Inventory # 204279

Bibliographic Details

• Title: Principles of Statistical Analysis (Institute of Mathematical Statistics Textbooks)
• Publisher: Cambridge University Press
• Publication Date: 2022
• Language: English
• ISBN 10: 1108747442
• ISBN 13: 9781108747448
• Binding: Paperback
• Edition: First Edition.
• Condition: Like New
• Weight: 19 ounces
• Seller catalogs:
  • Science, Mathematics & Technology

About this title

Synopsis

This compact course is written for the mathematically literate reader who wants to learn to analyze data in a principled fashion. The language of mathematics enables clear exposition that can go quite deep, quite quickly, and naturally supports an axiomatic and inductive approach to data analysis. Starting with a good grounding in probability, the reader moves to statistical inference via topics of great practical importance – simulation and sampling, as well as experimental design and data collection – that are typically displaced from introductory accounts. The core of the book then covers both standard methods and such advanced topics as multiple testing, meta-analysis, and causal inference.

About the Author

Ery Arias-Castro is a professor in the Department of Mathematics and in the Halıcıoğlu Data Science Institute at the University of California, San Diego, where he specializes in theoretical statistics and machine learning. His education includes a bachelor's degree in mathematics and a master's degree in artificial intelligence, both from École Normale Supérieure de Cachan (now École Normale Supérieure Paris-Saclay) in France, as well as a Ph.D. in statistics from Stanford University in the United States.