Principles of statistical analysis : learning from randomized experiments
- Cambridge : Cambridge University Press, 2022
- xvii, 389 p. ; ill., 23 cm
- Institute of mathematical statistics textbooks ; 15 .
Includes bibliographical references and index.
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.
9781108747448
Probability and Statistics Mathematical statistics