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SOLUTIONS
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ProbabilityDistribution
ProbabilityDistribution[pdf, {x, xmin, xmax}]
represents the continuous distribution with PDF pdf in the variable x where the pdf is taken to be zero for
and
.
ProbabilityDistribution[pdf, {x, xmin, xmax, dx}]
represents the discrete distribution with PDF pdf in the variable x where the pdf is taken to be zero for
and
.
ProbabilityDistribution[pdf, {x, ...}, {y, ...}, ...]
represents a multivariate distribution with PDF pdf in the variables x, y, ..., etc.
ProbabilityDistribution[{"CDF", cdf}, ...]
represents a probability distribution with CDF given by cdf.
ProbabilityDistribution[{"SF", sf}, ...]
represents a probability distribution with survival function given by sf.
ProbabilityDistribution[{"HF", hf}, ...]
represents a probability distribution with hazard function given by hf.
Details and OptionsDetails and Options
- For a multivariate ProbabilityDistribution definition, all variables need to be either discrete or continuous; no mixed cases can occur.
- ProbabilityDistribution[pdf, ...] is equivalent to ProbabilityDistribution[{"PDF", pdf}, ...].
- ProbabilityDistribution[..., Assumptions->assum] specifies the assumptions assum for parameters in the PDF or domain specification.
- ProbabilityDistribution can be used with such functions as Mean, CDF, and RandomVariate, etc.



