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SOFTWARE REVIEW
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The following is a comparison of various add-in packages available to do Monte Carlo probabilistic modeling and risk analysis. Add-ins covered are for Microsoft Excel on Windows. Mac software and tools for other platforms, such as R or Matlab are not included.

Decision-making software is reviewed separately.


Video Comparison of risk analysis Microsoft Excel add-ins



General information


Maps Comparison of risk analysis Microsoft Excel add-ins



Technical specification I


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Technical specification II


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Simulation Controls


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Reporting results


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Help file, support and training


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See also

  • Spreadsheet
  • Probability
  • Add-in

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Footnotes and references


RISKOptimizer: Monte Carlo Simulation with Optimization Software ...
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Further reading

  • Albright, S. (2011), Data Analysis and Decision Making, 4th Edition, USA: Cengage Learning, ISBN 978-0-538-47612-6 
  • Charnes, J. (2012), Financial Modeling with Oracle Crystal Ball and Excel (2nd edition), USA: Wiley, ISBN 978-0-471-77972-8 
  • Day, A. (2003), Mastering Risk Modeling, Great Britain: Prentice Hall, ISBN 0-273-65978-2 
  • Evans, J.; Olson, D. (1998), Introduction To Simulation And Risk Analysis, United States of America: Prentice Hall, ISBN 0-13-621608-0 
  • Iman, R. L. and Conover, W. J., (1982). 'A Distribution-Free Approach to Inducing Rank Order Correlation Among Input Variables', Commun Statist-Simula Computa 11(3) 311-334
  • Lehman, D.; Groenendaal, H.; Nolder, G. (2010), Practical Spreadsheet Risk Modeling for Management, United States of America: CRC Press, ISBN 978-1-4398-5552-2 
  • Machain, L. (2011), SimuaciĆ³n de Modelos Financieros, ISBN 978-987-33-0705-8 
  • Ragsdale, C. (2008), Spreadsheet Modeling & Decision Analysis: A Practical Introduction to Management Science (5th edition), Great Britain: Thomson South-Western, ISBN 0-324-65664-5 
  • Vose, D. (2008), Risk Analysis: A Quantitative Guide (3rd edition), Great Britain: Wiley, ISBN 978-0-470-51284-5 

Source of the article : Wikipedia

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