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 SpringerLink (Online service) |
Hide book details.
Links to the text | Location | Volume | Call No. | Barcode No. | Status | Comments | ISBN | Printed | Restriction | Reserve |
---|---|---|---|---|---|---|---|---|---|---|
Links to the text | Library Off-campus access |
|
OB00176759 | Springer Business and Management eBooks (電子ブック) | 9783030777579 |
|
|
Hide details.
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 |
Similar Items
Usage statistics of this contents
Number of accesses to this page:6times