Difference between revisions of "Category:Distribution Functions"

Probability distribution functions represent an uncertain quantity.  These return results that differ depending on whether they are evaluated in Mid-mode or Sample-mode.  When evaluated in Mid-mode, a distribution returns its theoretical median.  When evaluated in sample mode, a distribution returns a random sample of points drawn from the indicated probability distribution, where each sample point is indexed by the system index Run.  Random samples may be generated using [[Median Latin Hypercube Sampling]], [[Random Latin Hypercube Sampling]] or [[Monte Carlo Sampling]], based on the current [[Uncertainty Settings]].

Probability distribution functions represent an uncertain quantity.  These return results that differ depending on whether they are evaluated in Mid-mode or Sample-mode.  When evaluated in Mid-mode, a distribution returns its theoretical median.  When evaluated in sample mode, a distribution returns a random sample of points drawn from the indicated probability distribution, where each sample point is indexed by the system index Run.  Random samples may be generated using [[Median Latin Hypercube Sampling]], [[Random Latin Hypercube Sampling]] or [[Monte Carlo Sampling]], based on the current [[Uncertainty Settings]].

Distribution functions can also be specified as a parameter to the [[Random]] function to generate single random variates.

Distribution functions can also be specified as a parameter to the [[Random]] function to generate single random variates.