Uncertainty Quantification and Stochastic Modelling with EXCEL Uncertainty Quantification and Stochastic Modelling with EXCEL
Springer Texts in Business and Economics

Uncertainty Quantification and Stochastic Modelling with EXCEL

    • 97,99 €
    • 97,99 €

Descrição da editora

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.

GÉNERO
Negócios e finanças pessoais
LANÇADO
2022
1 de fevereiro
IDIOMA
EN
Inglês
PÁGINAS
542
EDITORA
Springer International Publishing
INFORMAÇÕES DO FORNECEDOR
Springer Science & Business Media LLC
TAMANHO
134,3
MB
Uncertainty Quantification with R Uncertainty Quantification with R
2024
Uncertainty Quantification using R Uncertainty Quantification using R
2023
Variational Methods for Engineers with Matlab Variational Methods for Engineers with Matlab
2015
Modeling and Convexity Modeling and Convexity
2013
Global Business Strategy Global Business Strategy
2015
Stochastic Discounted Cash Flow Stochastic Discounted Cash Flow
2020
The Brownian Motion The Brownian Motion
2019
Corporate Finance for Long-Term Value Corporate Finance for Long-Term Value
2023
Modern Industrial Services Modern Industrial Services
2021
Fundamentals of the Insurance Business Fundamentals of the Insurance Business
2024