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Uncertainty quantification and stochastic modelling with EXCEL

Record Type:	Electronic resources : Monograph/item
Title/Author:	Uncertainty quantification and stochastic modelling with EXCELby Eduardo Souza de Cursi.
Author:	Cursi, Eduardo Souza de.
Published:	Cham :Springer International Publishing :2022.
Description:	xi, 531 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	UncertaintyMathematical models.
Online resource:	https://doi.org/10.1007/978-3-030-77757-9
ISBN:	9783030777579$q(electronic bk.)

Uncertainty quantification and stochastic modelling with EXCEL
Cursi, Eduardo Souza de.

Uncertainty quantification and stochastic modelling with EXCEL[electronic resource] /by Eduardo Souza de Cursi. - Cham :Springer International Publishing :2022. - xi, 531 p. :ill. (chiefly col.), digital ;24 cm. - Springer texts in business and economics,2192-4341. - Springer texts in business and economics..

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.

ISBN: 9783030777579$q(electronic bk.)

Standard No.: 10.1007/978-3-030-77757-9doiSubjects--Uniform Titles:

Microsoft Excel (Computer file)
Subjects--Topical Terms:

263216
Uncertainty
--Mathematical models.

LC Class. No.: QA274 / .S68 2022

Dewey Class. No.: 519.2

Uncertainty quantification and stochastic modelling with EXCEL
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520 $a 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.
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