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Sensitivity Analysis

An Introduction for the Management Scientist

  • Emanuele Borgonovo

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 251)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Emanuele Borgonovo
    Pages 1-7
  3. Emanuele Borgonovo
    Pages 9-13
  4. Deterministic Methods

    1. Front Matter
      Pages 15-15
    2. Emanuele Borgonovo
      Pages 17-25
    3. Emanuele Borgonovo
      Pages 27-34
    4. Emanuele Borgonovo
      Pages 35-47
    5. Emanuele Borgonovo
      Pages 49-55
    6. Emanuele Borgonovo
      Pages 67-77
    7. Emanuele Borgonovo
      Pages 89-91
    8. Emanuele Borgonovo
      Pages 93-100
    9. Emanuele Borgonovo
      Pages 101-113
  5. Probabilistic Sensitivity Methods

    1. Front Matter
      Pages 115-115
    2. Emanuele Borgonovo
      Pages 117-127
    3. Emanuele Borgonovo
      Pages 129-138
    4. Emanuele Borgonovo
      Pages 139-162
    5. Emanuele Borgonovo
      Pages 163-180
    6. Emanuele Borgonovo
      Pages 181-189
    7. Emanuele Borgonovo
      Pages 191-199
    8. Emanuele Borgonovo
      Pages 211-228
  6. Applications

    1. Front Matter
      Pages 239-239
    2. Emanuele Borgonovo
      Pages 241-280
  7. Back Matter
    Pages 281-294

About this book

Introduction

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 is to foster the recognition of the crucial role of sensitivity analysis methods as the techniques that allow 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 helps the analyst in structuring her/his sensitivity analysis quest properly, so as 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.

Keywords

Decision Science Direction of Change Management Sciences Quantitative Decision Support Sensitivity Analysis Simulations

Authors and affiliations

  • Emanuele Borgonovo
    • 1
  1. 1.Department of Decision SciencesBocconi UniversityMilanItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-52259-3
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Business and Management
  • Print ISBN 978-3-319-52257-9
  • Online ISBN 978-3-319-52259-3
  • Series Print ISSN 0884-8289
  • Series Online ISSN 2214-7934
  • Buy this book on publisher's site