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Principles of Statistical Analysis: Learning From Randomized Experiments (Institute of Mathematical Statistics Textbooks) (in English)
Ery Arias-Castro
(Author)
·
Cambridge University Press
· Paperback
Principles of Statistical Analysis: Learning From Randomized Experiments (Institute of Mathematical Statistics Textbooks) (in English) - Arias-Castro, Ery
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Synopsis "Principles of Statistical Analysis: Learning From Randomized Experiments (Institute of Mathematical Statistics Textbooks) (in English)"
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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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