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Uncertainty Quantification and Stochastic Modelling with EXCEL / by Eduardo Souza de Cursi
(Springer Texts in Business and Economics. ISSN:21924341)

Publisher (Cham : Springer International Publishing : Imprint: Springer)
Year 2022
Edition 1st ed. 2022.
Authors *Souza de Cursi, Eduardo author
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OB00176759 Springer Business and Management eBooks (電子ブック) 9783030777579

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Material Type E-Book
Media type 機械可読データファイル
Size XI, 531 p. 765 illus., 600 illus. in color : online resource
Notes 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
HTTP:URL=https://doi.org/10.1007/978-3-030-77757-9
Subjects LCSH:Operations research
LCSH:Econometrics
LCSH:Mathematical optimization
LCSH:Mathematics—Philosophy
LCSH:Probabilities
FREE:Operations Research and Decision Theory
FREE:Quantitative Economics
FREE:Discrete Optimization
FREE:Philosophy of Mathematics
FREE:Probability Theory
Classification LCC:T57.6-.97
DC23:658.403
ID 8000078868
ISBN 9783030777579

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