Interpreting Results of Quantitative Analysis

Lev Virine and Michael Trumper

Chapter 9 in Project Risk Analysis Made Ridiculously Simple, 2017, pp 137-149 from World Scientific Publishing Co. Pte. Ltd.

Abstract: As we have noted before, the results of project risk analysis need to be properly interpreted to make meaningful decisions. In this chapter, we will discuss how to interpret sensitivity charts, frequency histograms, and how we can use these results to calculate project contingencies. In the end, we will tie these altogether with Event chain methodology and learn its fifth principle: how to rank events and event chains based on results of Monte Carlo simulation.

Keywords: Project Management; Risk Management; Risk Analysis (search for similar items in EconPapers)
JEL-codes: D81 G32 (search for similar items in EconPapers)
Date: 2017
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