Monte Carlo Methods in Financial Engineering
Description
Monte Carlo Methods in Financial Engineering By Glasserman, Paul Published by Springer Publication Date: 2010-11-19 Subject: Business & Economics Economics Theory, Business & Economics Public Finance, Business & Economics Corporate Finance - General, Business & Economics Economics - Theory, Business & Economics Finance - General, Business & Economics Operations Research, Business & Economics Public Finance, Education General, Mathematics Applied, Mathematics Probability & Statistics General, Mathematics Applied, Mathematics Game Theory, Mathematics Probability & Statistics - General, Medical General, Applied Mathematics, Economic Theory & Philosophy, Finance & Accounting, Probability & Statistics, Public Finance, Civil Service And Public Sector, Economic Theory And Philosophy, Economics, Finance, Business And Management, Probability And Statistics, Stochastics, Applied Mathematics, Public Finance, Probability & Statistics, Finance & Accounting, Economic Theory & Philosophy, Mathematics Applied, Mathematics, Applied, Business & Economics Public Finance, Business & Economics, Public Finance, Mathematics Probability & Statistics General, Probability & Statistics, General, Business & Economics Economics Theory, Economics, Theory, Civil Service And Public Sector, Probability And Statistics, Stochastics, Economics, Finance, Business And Management, Economic Theory And Philosophy, Mathematics, Economic Theory, Mathematical Statistics, Finance, Distribution (Probability Theory, Anf: Mathematics Subject Keywords: Analysis; Measure; Monte Carlo Simulation; Monte Carlo method; Random variable; Stochastic Differential Equations; Stochastic calculus; quantitative finance Genre: Applied Mathematics, Public Finance, Probability & Statistics, Finance & Accounting, Economic Theory & Philosophy, Mathematics, Applied, Business & Economics, Public Finance, Mathematics, Probability & Statistics, General, Business & Economics, Economics, Theory, Applied Mathematics, Civil Service And Public Sector, Probability And Statistics, Stochastics, Economics, Finance, Business And Management, Economic Theory And Philosophy Target Audience: Professional and scholarly
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