I will do monte carlo and decision tree simulation

About:

Probabilistic uncertainty analysis like Monte Carlo or decision tree simulation supports investment and operational decision making, strategic management and risk mitigation. Probabilistic analysis is important as the outcome of most decisions is uncertain, as are the key assumptions required to analyse them.

Monte Carlo is used to quantify uncertainty and provide distribution, while decision tree has objective of making decisions driven by expected value.

Value of information allows to estimate the maximum price for resolving an uncertainty (like “how much could we pay for this data to add value?”) while value of imperfect information considers a chance the information will not be 100% accurate (like weather forecast).

As every simulation is unique in terms of the complexity and the time requirements, please contact me first before placing an order. I'm focused on excellent client experience. Fast delivery could be done upon request.

This is not a $5 template work, but a professional simulation fit for your business needs. School assignments are excluded.

Reviews

mshawaf:pleasure working with econconsult. He is an expert professional.

econconsult:Outstanding experience and professional approach.

mshawaf:Great service.

econconsult:It was a pleasure to have effective communication and work in professional manner.

mshawaf:pleasure working with econconsult. He is an expert professional.