{ "item_title" : "Principles of Statistical Analysis", "item_author" : [" Ery Arias-Castro "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/10/874/744/1108747442_b.jpg", "price_data" : { "retail_price" : "44.00", "online_price" : "44.00", "our_price" : "44.00", "club_price" : "44.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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