{"product_id":"engineering-uncertainty-and-risk-analysis-a-balanced-approach-to-probability-statistics-stochastic-modeling-and-stochastic-differential-equations-9780965564311","title":"Engineering Uncertainty and Risk Analysis: A Balanced Approach to Probability, Statistics, Stochastic Modeling, and Stochastic Differential Equations.","description":"\u003cp\u003eAn integrated coverage of probability, statistics, Monte Carlo simulation, inferential statistics, design of experiments, systems reliability, fitting random data to models, analysis of variance, stochastic processes, and stochastic differential equations for engineers and scientists. The author for first time presents an introduction to the broad field of applied engineering uncertainty analysis in one comprehensive, friendly, coverage.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eEach concept is illustrated with several examples of relevance in engineering applications (no cards, colored balls, or dice): \u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003e\n\u003cstrong\u003e478 pages; 177 solved examples; 147 proposed problems; 174 illustrations, 69 short computer programs; and 51 data and statistical tables.\u003c\/strong\u003e\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eClear presentation of concepts. Practical engineering examples. No cards, no dice, no colored balls.\u003c\/strong\u003e\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003ePrepares the reader for today's problems in engineering analysis, modeling, and design under uncertainty.\u003c\/strong\u003e\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eThis edition includes new research advances in nonlinear stochastic equations; simple methods to solve and graph boundary-value problems in several dimensions. \u003c\/strong\u003e\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eIntegrated treatment of probability, statistics, and stochastic modeling.\u003c\/strong\u003e\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eIncludes numerical (Monte Carlo) simulations and analytical modeling.\u003c\/strong\u003e\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eIntuitive and graphical introduction to stochastic processes.\u003c\/strong\u003e\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003ePractical introduction to applied stochastic differential equations.\u003c\/strong\u003e\u003cbr\u003e \u003c\/li\u003e \u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003e\u003ci\u003eSerrano, Sergio E.:\u003c\/i\u003e\u003c\/b\u003e - Dr. Sergio E. Serrano received his Ph.D. degree at the University of Waterloo (Canada). He is a full professor of engineering science and applied mathematics at a Research I university in the U. S. For the past thirty years, he has taught in several universities in the United States, Canada, Colombia, Spain, and China. He has over one hundred research publications in international science, engineering, and mathematics journals. He is also the author of nine books in environmental engineering, statistics, philosophy, and psychology. He has been an associate editor of various technical journals; the author of over one hundred publications in scientific journals and books in the field of probability, statistics and stochastic analysis; and a pioneer of several new solutions of nonlinear stochastic differential equations in complex systems subject to hysteresis, transient variability, random media heterogeneity, and scale dependency. Dr. Serrano has been awarded four times with nationally-competitive research grants by the National Science Foundation, Washington, DC.","brand":"Hydroscience Inc.","offers":[{"title":"Default Title","offer_id":50330540212498,"sku":"9780965564311","price":68.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_ba70c3c1-24bc-405a-b832-e906038678bb.jpg?v=1727803629","url":"https:\/\/surprise-castle.myshopify.com\/products\/engineering-uncertainty-and-risk-analysis-a-balanced-approach-to-probability-statistics-stochastic-modeling-and-stochastic-differential-equations-9780965564311","provider":"Surprise Castle","version":"1.0","type":"link"}