[−][src]Trait rv::traits::Mean
Defines the distribution mean
Required methods
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impl Mean<f32> for Beta
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impl Mean<f32> for ChiSquared
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impl Mean<f32> for Exponential
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impl Mean<f32> for Gamma
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impl Mean<f32> for Gaussian
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impl Mean<f32> for Gev
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impl Mean<f32> for InvGamma
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impl Mean<f32> for Kumaraswamy
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impl Mean<f32> for Laplace
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impl Mean<f32> for LogNormal
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impl Mean<f32> for Pareto
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impl Mean<f32> for StudentsT
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impl Mean<f32> for Uniform
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impl Mean<f32> for VonMises
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impl Mean<f64> for Bernoulli
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impl Mean<f64> for Beta
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impl Mean<f64> for BetaBinomial
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impl Mean<f64> for Binomial
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impl Mean<f64> for ChiSquared
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impl Mean<f64> for Exponential
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impl Mean<f64> for Gamma
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impl Mean<f64> for Gaussian
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impl Mean<f64> for Geometric
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impl Mean<f64> for Gev
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impl Mean<f64> for InvGamma
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impl Mean<f64> for Kumaraswamy
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impl Mean<f64> for Laplace
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impl Mean<f64> for LogNormal
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impl Mean<f64> for Pareto
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impl Mean<f64> for Poisson
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impl Mean<f64> for StudentsT
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impl Mean<f64> for Uniform
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impl Mean<f64> for VonMises
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impl Mean<Matrix<f64, Dynamic, Dynamic, <DefaultAllocator as Allocator<f64, Dynamic, Dynamic>>::Buffer>> for InvWishart
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impl Mean<Matrix<f64, Dynamic, U1, VecStorage<f64, Dynamic, U1>>> for MvGaussian
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impl<Fx> Mean<f32> for Mixture<Fx> where
Fx: ContinuousDistr<f32> + Mean<f32>,
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Fx: ContinuousDistr<f32> + Mean<f32>,
impl<Fx> Mean<f64> for Mixture<Fx> where
Fx: ContinuousDistr<f64> + Mean<f64>,
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Fx: ContinuousDistr<f64> + Mean<f64>,
impl<T> Mean<f64> for DiscreteUniform<T> where
T: DuParam + SampleUniform + Into<f64>,
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T: DuParam + SampleUniform + Into<f64>,