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DistributionParameterAssumptions

DistributionParameterAssumptions[dist]
gives a logical expression for assumptions on parameters in the symbolic distribution dist.
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Basic Examples   (1)
Obtain parameter assumptions for a normal distribution:
Parameter assumptions for a multinomial distribution:
Obtain parameter assumptions for a normal distribution:
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Out[1]=
Parameter assumptions for a multinomial distribution:
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Scope   (4)
Obtain assumptions for distributions with combinations of numeric and symbolic parameters:
Get assumptions for univariate and multivariate discrete and continuous distributions:
Get assumptions for a derived distribution:
Data distributions have no parameters, so the assumptions are vacuously true:
Applications   (1)
Get the PDF for an extreme value distribution:
Compute the integral for its mean without including parameter assumptions:
Use parameter assumptions to simplify the result:
Compute the result by giving the assumptions directly to Integrate:
Compare with the mean of the distribution:
Properties & Relations   (1)
DistributionParameterAssumptions returns conditions on parameters:
DistributionParameterQ assumes symbolic parameters are valid:
With numeric parameters, the outputs are equivalent:
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