{"product_id":"9780470025949","title":"Fundamental Probability A Computational Approach","description":"\u003ch1\u003eFundamental Probability\u003c\/h1\u003e\u003ch2\u003eA Computational Approach\u003c\/h2\u003e\u003ch3\u003eMarc S. Paolella\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003eProbability is a vital measure in numerous disciplines, from bioinformatics and econometrics to finance\/insurance and computer science. Developed from a successful course, \u003ci\u003eFundamental Probability\u003c\/i\u003e provides an engaging and hands-on introduction to this important topic. Whilst the theory is explored in detail, this book also emphasises practical applications, with the presentation of a large variety of examples and exercises, along with generous use of computational tools.\u003c\/p\u003e \u003cp\u003eBased on international teaching experience with students of statistics, mathematics, finance and econometrics, the book:\u003c\/p\u003e \u003cul\u003e \u003cli\u003ePresents new, innovative material alongside the classic theory.\u003c\/li\u003e \u003cli\u003eGoes beyond standard presentations by carefully introducing and discussing more complex subject matter, including a richer use of combinatorics, runs and occupancy distributions, various multivariate sampling schemes, fat-tailed distributions, and several basic concepts used in finance.\u003c\/li\u003e \u003cli\u003eEmphasises computational matters and programming methods via generous use of examples in MATLAB.\u003c\/li\u003e \u003cli\u003eIncludes a large, self-contained Calculus\/Analysis appendix with derivations of all required tools, such as Leibniz' rule, exchange of derivative and integral, Fubini's theorem, and univariate and multivariate Taylor series.\u003c\/li\u003e \u003cli\u003ePresents over 150 end-of-chapter exercises, graded in terms of their difficulty, and accompanied by a full set of solutions online.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThis book is intended as an introduction to the theory of probability for students in biology, mathematics, statistics, economics, engineering, finance, and computer science who possess the prerequisite knowledge of basic calculus and linear algebra.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e \u003cb\u003eMarc S Paolella\u003c\/b\u003e, Swiss Banking Institute, University of Zurich, Switzerland\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e12 April 2006\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780470025949\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e488\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e36.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44378722500748,"sku":"9780470025949","price":150.26,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780470025949.jpg?v=1780112322","url":"https:\/\/lateknightbooks.com\/products\/9780470025949","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}