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Springer Texts in Business and Economics
cover

Uncertainty Quantification and Stochastic Modelling with EXCEL

Authors: Souza de Cursi, Eduardo

  • Introduces uncertainty quantification techniques to professionals, researchers and students who use Excel as a computational tool
  • Applies methods such as linear and nonlinear programming, multi-objective optimization, and game theory to economics, business administration, and civil engineering
  • Offers a selection of numerical methods developed specifically for Excel
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eBook $109.00
price for Mexico
  • The eBook version of this title will be available soon
  • Due: 4 de noviembre de 2021
  • ISBN 978-3-030-77757-9
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $139.99
price for Mexico
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: 7 de octubre de 2021
  • ISBN 978-3-030-77756-2
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
About this Textbook

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.

About the authors

Eduardo Souza De Cursi is a professor at the National Institute for Applied Sciences (INSA) in Rouen, France, where he serves as Dean of International Affairs and Director of the Laboratory of Mechanics of Normandy. He is also the Editor-in-Chief of "Computational and Applied Mathematics", a journal of the Brazilian Society of Computational and Applied Mathematics that is published with Springer. Prof. De Cursi holds a PhD in Sciences/Mathematics from the Université des Sciences et Techniques Du Languedoc, USTL, France, and has over 35 years’ experience in research, teaching and technology transfer.

Buy this book

eBook $109.00
price for Mexico
  • The eBook version of this title will be available soon
  • Due: 4 de noviembre de 2021
  • ISBN 978-3-030-77757-9
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $139.99
price for Mexico
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: 7 de octubre de 2021
  • ISBN 978-3-030-77756-2
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
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Bibliographic Information

Bibliographic Information
Book Title
Uncertainty Quantification and Stochastic Modelling with EXCEL
Authors
Series Title
Springer Texts in Business and Economics
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-77757-9
DOI
10.1007/978-3-030-77757-9
Hardcover ISBN
978-3-030-77756-2
Series ISSN
2192-4333
Edition Number
1
Number of Pages
IV, 692
Number of Illustrations
165 b/w illustrations, 600 illustrations in colour
Topics