Principles of Statistical Analysis: Learning from Randomized Experiments (Institute of Mathematical Statistics Textbooks) - Tapa blanda

Libro 14 de 15: Institute of Mathematical Statistics Textbooks

Arias-Castro, Ery

 
9781108747448: Principles of Statistical Analysis: Learning from Randomized Experiments (Institute of Mathematical Statistics Textbooks)

Sinopsis

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.

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Acerca del autor

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.

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Otras ediciones populares con el mismo título

9781108489676: Principles of Statistical Analysis: Learning from Randomized Experiments (Institute of Mathematical Statistics Textbooks)

Edición Destacada

ISBN 10:  1108489672 ISBN 13:  9781108489676
Editorial: Cambridge University Press, 2022
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