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005 20251204111034.0
010   $a9783030777579$b(electronic bk.)
010   $z9783030777562
024 7 $a10.1007/978-3-030-77757-9
035   $a(MiAaPQ)EBC6881912
035   $a(Au-PeEL)EBL6881912
035   $a(CKB)21069160500041
035   $a(PPN)260633534
035   $a(BIP)83084263
035   $a(BIP)80071197
035   $a(DE-He213)978-3-030-77757-9
035   $a(EXLCZ)9921069160500041
100   $a20220201d2022      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aUncertainty Quantification and Stochastic Modelling with EXCEL /$fby Eduardo Souza de Cursi
205   $a1st ed. 2022.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022.
215   $a1 online resource (536 pages)
225 1 $aSpringer Texts in Business and Economics,$x2192-4341
311 08$aPrint version: Souza de Cursi, Eduardo Uncertainty Quantification and Stochastic Modelling with EXCEL Cham : Springer International Publishing AG,c2022 9783030777562 
320   $aIncludes bibliographical references and index.
327   $aChapter 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.
330   $aThis book presents techniques for determining uncertainties in numerical solutions with applications in the fields of business administration, civil engineering, and economics, using Excel as a computational tool. Also included are solutions to uncertainty problems involving stochastic methods. The list of topics specially covered in this volume includes linear and nonlinear programming, Lagrange multipliers (for sensitivity), multi objective optimization, and Game Theory, as well as linear algebraic equations, and probability and statistics. The book also provides a selection of numerical methods developed for Excel, in order to enhance readers? understanding. As such, it offers a valuable guide for all graduate and undergraduate students in the fields of economics, business administration, civil engineering, and others that rely on Excel as a research tool.
410  0$aSpringer Texts in Business and Economics,$x2192-4341
606   $aOperations research
606   $aEconometrics
606   $aMathematical optimization
606   $aMathematics$xPhilosophy
606   $aProbabilities
606   $aOperations Research and Decision Theory
606   $aQuantitative Economics
606   $aDiscrete Optimization
606   $aPhilosophy of Mathematics
606   $aProbability Theory
615  0$aOperations research.
615  0$aEconometrics.
615  0$aMathematical optimization.
615  0$aMathematics$xPhilosophy.
615  0$aProbabilities.
615 14$aOperations Research and Decision Theory.
615 24$aQuantitative Economics.
615 24$aDiscrete Optimization.
615 24$aPhilosophy of Mathematics.
615 24$aProbability Theory.
676   $a519.2
676   $a519.2
700   $aCursi$b Eduardo Souza de$0908276
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
912   $a9910522558003321
996   $aUncertainty quantification and stochastic modelling with EXCEL$92917229
997   $aUNINA