This procedure is used to find the distribution of one or more output variables defined by mathematical models coupling them with one of more input variables. A probability distribution for each input variable may be specified. The primary output includes estimated percentiles for the output variables.
This procedure generates random samples from ARIMA time series models.
It is frequently necessary to generate random numbers from different probability distributions. This procedure simplifies the process of creating multiple samples of random numbers. 49 probability distributions are available.
This procedure generates random numbers from a multivariate normal distribution involving up to 12 variables. The user inputs the variable means, standard deviations, and the correlation matrix. Random samples are generated which may be saved to the Statgraphics databook.