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Please Note: This title is no longer available here. It is now republished by Springer/Nature/Apress.

This is a tutorial for learning how to use the statistical programming language R to develop a business case simulation and analysis.

The tutorial follows the case in which a chemical manufacturing company considers constructing a chemical reactor and production facility to bring a new compound to market. There are numerous uncertainties and risks involved, including the possibility that a competitor brings a similar product online. The company must determine the value of making the decision to move forward and where they might prioritize their attention to make a more informed and robust decision. While the example used is a chemical company, the analysis structure it presents can be applied to just about any business decision, from IT projects to new product development to commercial real estate.

The purpose of the book is not to teach you R in a broad manner. Rather, it shows you how to

Set up a business case abstraction
Model the inherent uncertainties in the problem with Monte Carlo simulation
Communicate the results graphically
Draw appropriate insights from the results

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