Principles of statistical analysis learning from randomized experiments
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. S...
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| Format: | eBook |
| Language: | English |
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Cambridge, United Kingdom
Cambridge University Press
2022
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| Series: | Institute of Mathematical Statistics textbooks
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| Collection: | Cambridge Books Online - Collection details see MPG.ReNa |
| Summary: | 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 |
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| Physical Description: | xvii, 389 pages digital |
| ISBN: | 9781108779197 |