Examples of using Monte carlo simulation in English and their translations into Chinese
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Monte Carlo simulation.
That is the idea of a Monte Carlo Simulation.
Monte Carlo simulation permits to receive distribution of values for potential consequences.
We can use something called a Monte Carlo simulation.
This way, Monte Carlo simulation provides a considerably more complete view of what may occur.
You can run something called a Monte Carlo simulation.
In this way, Monte Carlo simulation provides a much more comprehensive view of what may happen.
Congratulations, you have just done a Monte Carlo simulation!
In Monte Carlo simulation, it is possible to form independent relationships between input variables.
A better way to performquantitative risk analysis is by using Monte Carlo simulation.
In Monte Carlo simulation, it's possible to model interdependent relationships between input variables.
Notably, the Strategy Analyzer window allows a Monte Carlo simulation of strategy as well.
In Monte Carlo simulation, it is easy to see which inputs had the biggest effect on bottom-line results.
An example application used for this study carries out a Monte Carlo simulation for Asian option pricing.
Monte Carlo simulation provides a number of advantages over deterministic, or“single-point estimate” analysis:.
We also introduce a new search algorithm that combines Monte Carlo simulation with value and policy networks.
A 10,000 point Monte Carlo simulation of the distribution of the sample mean of a circular uniform distribution for N= 3.
In order tosee a more complete estimation picture we could perform Monte Carlo simulation using the actual estimates.
In the chart below, the Monte Carlo simulation curves represent the likelihood of one-year returns for some recent financial years.
Spreadsheet applications for personalcomputers granted a major opportunity to use Monte Carlo simulation in everyday analysis work.
Using Monte Carlo simulation, analysts can see exactly which inputs had which values together when certain outcomes occurred.
We used descriptive statistics, weighted mean, and Monte Carlo simulation methods to pool and analyze the abstracted data.
Monte Carlo simulation furnishes the decision-maker with a range of possible outcomes and the probabilities they will occur for any choice of action.
The advent of spreadsheet applications for personalcomputers provided an opportunity for professionals to use Monte Carlo simulation in everyday analysis work.
Monte Carlo simulation provides the decision-maker with a series of possible results and the possibilities they will take place for any option of action.
Once these parameters are chosen, a Monte Carlo simulation is run, which generates the potential outcome distribution and the probability of reaching the envisaged target.
Monte Carlo simulation is a computerized mathematical technique that enables risk to be accounted for in quantitative analysis and decision making.
At SLAC, he developed Monte Carlo simulation programs for the Mark III detector, to compare fundamental physics hypotheses with the data obtained in experimental runs.
Monte Carlo simulation is a computerized mathematical technique that allows people to account for risk in quantitative analysis and decision making.