Principles of Statistical Analysis : Learning from Randomized Experiments

by Ery Arias-Castro

Book Details

Format Paperback / Softback

Book Series Institute of Mathematical Statistics Textbooks

ISBN-10 1108747442

ISBN-13 9781108747448

Publisher Cambridge University Press

Imprint Cambridge University Press

Country of Manufacture GB

Country of Publication GB

Publication Date Aug 25th, 2022

Print length 400 Pages

Weight 596 grams

Dimensions 15.30 x 22.80 x 2.70 cms

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This concise course in principled data analysis for the mathematically literate uses survey sampling and designed experiments as a foundation for statistical inference. Covering essentials for advanced undergraduates and selected topics typically taught at the graduate level, its 700 problems – many computational – build understanding and skills.

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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