Sensitivity Analysis

An Introduction for the Management Scientist

Autor: Emanuele Borgonovo

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Legare: Copertă tare

Editura: Springer International Publishing AG

Disponibilitate: În depozitul extern

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This book is an expository introduction to the methodology of sensitivity analysis of model output....

Informații despre carte

Autor

Emanuele Borgonovo

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2017

Pagini

294

EAN

9783319522579

ISBN

3319522574

Enbook ID

15560998

Editura

Springer International Publishing AG

Greutate

5856

Dimensiuni

155 x 235 x 20

Descriere completă

This book is an expository introduction to the methodology of sensitivity analysis of model output. It is primarily intended for investigators, students and researchers that are familiar with mathematical models but are less familiar with the techniques for performing their sensitivity analysis. A variety of sensitivity methods have been developed over the years. This monograph helps the analyst in her/his first exploration of this world. The main goal of is to foster the recognition of sensitivity analysis methods as the techniques that play the crucial role of allowing us to gain insights from quantitative models. Also, exercising rigor in performing sensitivity analysis becomes increasingly relevant both to decision makers and modelers. The book also helps the analyst in structuring her/his sensitivity analysis quest properly, so that to obtain the correct answer to the corresponding managerial question. The first part of the book covers Deterministic Methods, including Tornado Diagrams; One-Way Sensitivity Analysis; Differentiation-Based Methods and Local Sensitivity Analysis with Constraints. The second part looks at Probabilistic Methods, including Regression-based methods, Variance-Based Methods, and Distribution-based methods. The final section looks at Applications, including capital budgeting, sensitivity analysis in climate change modelling and in the risk assessment of a lunar space mission.

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Sensitivity Analysis

An Introduction for the Management Scientist

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