Autore: Ery Arias-Castro
Formato: Copertina flessibile
Pagine: 408
Data Pubblicazione: 25 agosto 2022
Edizione: New edizione
Lingua: Inglese
Dimensione: 15.24 x 2.34 x 22.86 cm
Descrizione:
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.