Principles Of Statistical Analysis (Institute Of Mathematical Statistics Textbooks)

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.

• | Author: Ery Arias-Castro
• | Publisher: Cambridge University Press
• | Publication Date: Aug 25, 2022
• | Number of Pages: 408 pages
• | Language: English
• | Binding: Paperback/Mathematics
• | ISBN-10: 1108747442
• | ISBN-13: 9781108747448