2 résultats pour « Monte Carlo Simulation »

FIRE CLAIM SIZE ESTIMATION USING MATHEMATICAL METHODS: MONTE CARLO SIMULATION & SCENARIO ANALYSIS

This report uses UK fire statistics to model insurance claims for a company next year. It estimates the total sum of claims by modeling both the number and size of fires as random variables from statistical distributions. Monte Carlo simulations in R are used to predict the probability distribution of total claim costs.

Beyond probability‑impact matrices in project risk management: A quantitative methodology for risk prioritisation

The paper proposes a novel approach using Monte Carlo Simulation to quantitatively prioritize project risks based on their impact on project duration and cost, addressing limitations of traditional risk matrices and enabling project managers to differentiate critical risks according to their specific impact on time or cost objectives.