Does Simetar© estimate parameters for alternative probability distributions?
Simetar© includes five univariate tests for normality and a large sample test for multivariate normality that can be applied to any data series. A univariate parameter estimation system is included which estimates parameters for 16 parametric distributions using method of moments (MOM) and maximum likelihood estimator (MLE) procedures. Equations for simulating the 16 distributions are generated so the user can simulate the random variable for each distribution and compare the simulated data to the historical series. Three estimation options are provided for estimating parameters for empirical probability distributions.
Related Questions
- Can I use probability distributions such as UNIFORM (min, max) and TRIANGULAR (min, mode, max) to define input parameters such as talk times, abandonment, and so on?
- Does Simetar© estimate parameters for alternative probability distributions?
- Can Simetar© simulate multivariate probability distributions?
