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A solid foundation in probability sets the stage for a deep exploration of statistical inference in this course designed for mathematically literate readers. It emphasizes practical topics like simulation, sampling, experimental design, and data collection, often overlooked in introductory texts. The book also delves into both standard statistical methods and advanced concepts, including multiple testing, meta-analysis, and causal inference, providing a comprehensive guide for effective data analysis.
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Principles of Statistical Analysis, Ery Arias-Castro
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- 2022
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