Engineering Uncertainty Risk Analysis by Serrano Sergio (22 results)
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -An 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.Each concept is illustrated with several examples of relevance in engineering applications (no cards, colored balls, or dice):478 pages; 177 solved examples; 147 proposed problems; 174 illustrations, 69 short computer programs; and 51 data and statistical tables.Clear presentation of concepts. Practical engineering examples. No cards, no dice, no colored balls.Prepares the reader for today's problems in engineering analysis, modeling, and design under uncertainty.This edition includes new research advances in nonlinear stochastic equations; simple methods to solve and graph boundary-value problems in several dimensions.Integrated treatment of probability, statistics, and stochastic modeling.Includes numerical (Monte Carlo) simulations and analytical modeling.Intuitive and graphical introduction to stochastic processes.Practical introduction to applied stochastic differential equations. 480 pp. Englisch.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorAbout the Author: 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 univers…ity in the U. S. Fo.
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -An 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 dif…ferential 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.Each concept is illustrated with several examples of relevance in engineering applications (no cards, colored balls, or dice):478 pages; 177 solved examples; 147 proposed problems; 174 illustrations, 69 short computer programs; and 51 data and statistical tables.Clear presentation of concepts. Practical engineering examples. No cards, no dice, no colored balls.Prepares the reader for today's problems in engineering analysis, modeling, and design under uncertainty.This edition includes new research advances in nonlinear stochastic equations; simple methods to solve and graph boundary-value problems in several dimensions.Integrated treatment of probability, statistics, and stochastic modeling.Includes numerical (Monte Carlo) simulations and analytical modeling.Intuitive and graphical introduction to stochastic processes.Practical introduction to applied stochastic differential equations.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 480 pp. Englisch.
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Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. ENGINEERING UNCERTAINTY AND RISK ANALYSIS | A Balanced Approach to Probability, Statistics, Stochastic Modeling, and Stochastic Differential Equations. | Sergio E. Serrano | Taschenbuch | Kartoniert / Broschiert | Englisch | 2011 | HydroScience Inc. | EAN 9780965564311 | Verantwortliche Person für di…e EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
- Softcover
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An 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 diff…erential 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.Each concept is illustrated with several examples of relevance in engineering applications (no cards, colored balls, or dice):478 pages; 177 solved examples; 147 proposed problems; 174 illustrations, 69 short computer programs; and 51 data and statistical tables.Clear presentation of concepts. Practical engineering examples. No cards, no dice, no colored balls.Prepares the reader for today's problems in engineering analysis, modeling, and design under uncertainty.This edition includes new research advances in nonlinear stochastic equations; simple methods to solve and graph boundary-value problems in several dimensions.Integrated treatment of probability, statistics, and stochastic modeling.Includes numerical (Monte Carlo) simulations and analytical modeling.Intuitive and graphical introduction to stochastic processes.Practical introduction to applied stochastic differential equations.
