Description
| Product ID: | 9781108747448 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Series: | Institute of Mathematical Statistics Textbooks |
| Title: | Principles of Statistical Analysis |
| Subtitle: | Learning from Randomized Experiments |
| Authors: | Author: Ery Arias-Castro |
| Page Count: | 400 |
| Subjects: | Information theory, Information theory, Research methods: general, Probability and statistics, Mathematical and statistical software, Data capture and analysis, Machine learning, Research methods: general, Probability & statistics, Mathematical & statistical software, Data capture & analysis, Machine learning |
| Description: | Select Guide Rating This concise course in principled data analysis for the mathematically literate uses survey sampling and designed experiments as a foundation for statistical inference. Covering essentials for advanced undergraduates and selected topics typically taught at the graduate level, its 700 problems - many computational - build understanding and skills. 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. |
| Imprint Name: | Cambridge University Press |
| Publisher Name: | Cambridge University Press |
| Country of Publication: | GB |
| Publishing Date: | 2022-08-25 |
