{ "item_title" : "Measure, Integral and Probability", "item_author" : [" Marek Capinski", "Peter E. Kopp "], "item_description" : "Measure, Integral and Probability is a gentle introduction that makes measure and integration theory accessible to the average third-year undergraduate student. The ideas are developed at an easy pace in a form that is suitable for self-study, with an emphasis on clear explanations and concrete examples rather than abstract theory. For this second edition, the text has been thoroughly revised and expanded. New features include: - a substantial new chapter, featuring a constructive proof of the Radon-Nikodym theorem, an analysis of the structure of Lebesgue-Stieltjes measures, the Hahn-Jordan decomposition, and a brief introduction to martingales - key aspects of financial modeling, discussed briefly from a measure-theoretical perspective to help the reader understand the underlying mathematical framework.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/85/233/781/1852337818_b.jpg", "price_data" : { "retail_price" : "37.99", "online_price" : "37.99", "our_price" : "37.99", "club_price" : "37.99", "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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