DistributionParameterQ[dist]
yields True if dist is a valid distribution, and yields False otherwise.
DistributionParameterQ
DistributionParameterQ[dist]
yields True if dist is a valid distribution, and yields False otherwise.
Details
- DistributionParameterQ checks that numeric parameters meet parameter assumptions for the input distribution dist and assumes symbolic parameters are valid.
- DistributionParameterQ issues a message when it encounters an invalid parameter.
Examples
open all close allBasic Examples (1)
Scope (3)
Test distributions with combinations of numeric and symbolic parameters:
gammas = Table[GammaDistribution[a, b], {a, {α, 1}}, {b, {β, 2}}]//FlattenTable[{dist, DistributionParameterQ[dist]}, {dist, gammas}]//GridCheck valid univariate and multivariate discrete and continuous distributions:
validDistributions = {ParetoDistribution[k, a], PoissonDistribution[μ], BinormalDistribution[ρ], NegativeMultinomialDistribution[n, {Subscript[p, 1], Subscript[p, 2], Subscript[p, 3]}]};Table[{dist, DistributionParameterQ[dist]}, {dist, validDistributions}]//GridinvalidDistributions = {ParetoDistribution[-3, a], PoissonDistribution[I], BinormalDistribution[5], NegativeMultinomialDistribution[n, {Subscript[p, 1], 3, Subscript[p, 3]}]};Table[{dist, DistributionParameterQ[dist]}, {dist, invalidDistributions}]//GridTest a constructed distribution:
tdist = TransformedDistribution[x ^ 3, xPoissonDistribution[μ]];DistributionParameterQ[tdist]ddist = EmpiricalDistribution[Range[10]];DistributionParameterQ[ddist]Applications (1)
Define a function for valid distributions:
cubedMean[dist_ ? DistributionParameterQ] := Mean[dist] ^ 3The function evaluates on a distribution:
cubedMean[BetaDistribution[α, β]]It returns unevaluated for other inputs:
cubedMean[expr]Properties & Relations (1)
DistributionParameterQ assumes symbolic parameters are valid:
DistributionParameterQ[BinomialDistribution[n, p]]DistributionParameterAssumptions returns conditions on parameters:
DistributionParameterAssumptions[BinomialDistribution[n, p]]With numeric parameters, the outputs are equivalent:
DistributionParameterQ[BinomialDistribution[20, 1 / 3]]DistributionParameterAssumptions[BinomialDistribution[20, 1 / 3]]Related Guides
History
Text
Wolfram Research (2010), DistributionParameterQ, Wolfram Language function, https://reference.wolfram.com/language/ref/DistributionParameterQ.html.
CMS
Wolfram Language. 2010. "DistributionParameterQ." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/DistributionParameterQ.html.
APA
Wolfram Language. (2010). DistributionParameterQ. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/DistributionParameterQ.html
BibTeX
@misc{reference.wolfram_2026_distributionparameterq, author="Wolfram Research", title="{DistributionParameterQ}", year="2010", howpublished="\url{https://reference.wolfram.com/language/ref/DistributionParameterQ.html}", note=[Accessed: 13-June-2026]}
BibLaTeX
@online{reference.wolfram_2026_distributionparameterq, organization={Wolfram Research}, title={DistributionParameterQ}, year={2010}, url={https://reference.wolfram.com/language/ref/DistributionParameterQ.html}, note=[Accessed: 13-June-2026]}