PDF(distribution, value)
returns the probability density function of
value
.
PDF(distribution, {list} )
returns the probability density function of the values of list.
See:
PDF
can be applied to the following distributions:
BernoulliDistribution, BinomialDistribution, DiscreteUniformDistribution, ErlangDistribution, ExponentialDistribution, FrechetDistribution, GammaDistribution, GeometricDistribution, GumbelDistribution, HypergeometricDistribution, LogNormalDistribution, NakagamiDistribution, NormalDistribution, PoissonDistribution, StudentTDistribution, WeibullDistribution
Examples
>> PDF(NormalDistribution(n, m))1/(Sqrt(2)*E^((-n+#1)^2/(2*m^2))*m*Sqrt(Pi))&
>> PDF(GumbelDistribution(n, m),k)E^(-E^((k-n)/m)+(k-n)/m)/m
>> Table(PDF(NormalDistribution( ), x), {m, {-1, 1, 2}},{x, {-1, 1, 2}})//N{{0.24197,0.24197,0.05399},{0.24197,0.24197,0.05399},{0.24197,0.24197,0.05399}}
Related terms
Implementation status
- ✅ - full supported