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.
General
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