文档介绍：Doing Monte Carlo Simulation in Minitab Statistical Software
Doing Monte Carlo simulations inMinitab Statistical Softwaine the Input Parameters
For each factor in your transfer equation, determine how its data are distributed. Some inputs may follow the normal distribution, while
others follow a triangular or uniform distribution. You then need to determine distribution parameters for each input. For instance, you
would need to specify the mean and standard deviation for inputs that follow a normal distribution.
Create Random Data
To do valid simulation, you must create a very large, random data set for each input—something on the order 100,000 instances. These
random data points simulate the values that would be seen over a long period for each input. Minitab can easily create random data that follow almost any distribution you are likely to encounter.
Simulate and Analyze Process Output
With the simulated data in place, you can use your transfer equation to calculate simulated outcomes. Running a large enough quantity of
simulated input data through your model will give you a reliable indication of what the process will output over time, given the anticipated
variation in the inputs.
Those are the steps any Monte Carlo simulation needs to follow. Here's how to apply them in Minitab.
Monte Carlo Using a Known Engineering Formula
A manufacturing company needs to e