Arias-Castro, Ery, <br/><br/>
Principles of statistical analysis :  learning from randomized experiments / 
Ery Arias-Castro, University of California, San Diego. 
 - 1 online resource (xvii, 389 pages) :  digital, PDF file(s). 
 - Institute of Mathematical Statistics textbooks ;  15 .
 - Institute of Mathematical Statistics textbooks ;  15. .
<br/><br/> Title from publisher's bibliographic system (viewed on 27 Jul 2022). 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9781108779197 (ebook) 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Mathematical statistics--Textbooks.
<br/><br/><label>LC Class. No.: </label>QA276.12  / .A75 2022 
<br/><br/><label>Dewey Class. No.: </label>519.5