00884cam0 2200265 450 E60020006848020101108065754.020101108d1972 |||||ita|0103 baitaITIuris consensuFilippo CancelliRomaEdizioni dell'Ateneo197221 p.24 cm(mm)Estr. da: Rivista di cultura classica e medioevale, a. 14, n. 3 (1972)Cancelli, FilippoA600200055278070185752ITUNISOB20101108RICAUNISOBUNISOBFondo|Casavola|Opusc150511E600200068480M 102 Monografia moderna SBNM1202Si150511CasavoladonomenleUNISOBUNISOB20101108065756.020101108065832.0menleFondo|Casavola|OpuscIuris consensu1700018UNISOB03744nam 22007215 450 991052255800332120251204111034.09783030777579(electronic bk.)978303077756210.1007/978-3-030-77757-9(MiAaPQ)EBC6881912(Au-PeEL)EBL6881912(CKB)21069160500041(PPN)260633534(BIP)83084263(BIP)80071197(DE-He213)978-3-030-77757-9(EXLCZ)992106916050004120220201d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierUncertainty Quantification and Stochastic Modelling with EXCEL /by Eduardo Souza de Cursi1st ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (536 pages)Springer Texts in Business and Economics,2192-4341Print version: Souza de Cursi, Eduardo Uncertainty Quantification and Stochastic Modelling with EXCEL Cham : Springer International Publishing AG,c2022 9783030777562 Includes bibliographical references and index.Chapter 1: Some tips to use EXCEL -- Chapter 2: Some useful Numerical Methods -- Chapter 3: Probabilities with EXCEL -- Chapter 4: Stochastic Processes -- Chapter 5: Representation of Random Variables -- Chapter 6: Uncertain Algebraic Equations -- Chapter 7: Random Differential Equations -- Chapter 8: UQ in Game Theory -- Chapter 9: Optimization under uncertainty -- Chapter 10: Reliability -- Bibliography -- Index.This book presents techniques for determining uncertainties in numerical solutions with applications in the fields of business administration, civil engineering, and economics, using Excel as a computational tool. Also included are solutions to uncertainty problems involving stochastic methods. The list of topics specially covered in this volume includes linear and nonlinear programming, Lagrange multipliers (for sensitivity), multi objective optimization, and Game Theory, as well as linear algebraic equations, and probability and statistics. The book also provides a selection of numerical methods developed for Excel, in order to enhance readers’ understanding. As such, it offers a valuable guide for all graduate and undergraduate students in the fields of economics, business administration, civil engineering, and others that rely on Excel as a research tool.Springer Texts in Business and Economics,2192-4341Operations researchEconometricsMathematical optimizationMathematicsPhilosophyProbabilitiesOperations Research and Decision TheoryQuantitative EconomicsDiscrete OptimizationPhilosophy of MathematicsProbability TheoryOperations research.Econometrics.Mathematical optimization.MathematicsPhilosophy.Probabilities.Operations Research and Decision Theory.Quantitative Economics.Discrete Optimization.Philosophy of Mathematics.Probability Theory.519.2519.2Cursi Eduardo Souza de908276MiAaPQMiAaPQMiAaPQ9910522558003321Uncertainty quantification and stochastic modelling with EXCEL2917229UNINA