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- Exponentially_modified_Gaussian_distribution abstract "In probability theory, an exponentially modified Gaussian (EMG) distribution (ExGaussian distribution) describes the sum of independent normal and exponential random variables. An exGaussian random variable Z may be expressed as Z= X + Y where X and Y are independent, X is Gaussian with mean μ and variance σ2 and Y is exponential of rate λ. It has a characteristic positive skew from the exponential component.It may also be regarded as a weighted function of a shifted exponential with the weight being a function of the normal distribution.".
- Exponentially_modified_Gaussian_distribution thumbnail EMG_Distribution_PDF.png?width=300.
- Exponentially_modified_Gaussian_distribution wikiPageID "34299105".
- Exponentially_modified_Gaussian_distribution wikiPageRevisionID "605088099".
- Exponentially_modified_Gaussian_distribution cdf "is the CDF of a Gaussian distribution".
- Exponentially_modified_Gaussian_distribution cdf "where".
- Exponentially_modified_Gaussian_distribution cdfImage "360".
- Exponentially_modified_Gaussian_distribution hasPhotoCollection Exponentially_modified_Gaussian_distribution.
- Exponentially_modified_Gaussian_distribution name "EMG".
- Exponentially_modified_Gaussian_distribution parameters "— mean of Gaussian component".
- Exponentially_modified_Gaussian_distribution parameters "— rate of exponential component".
- Exponentially_modified_Gaussian_distribution parameters "— variance of Gaussian component".
- Exponentially_modified_Gaussian_distribution pdfImage "360".
- Exponentially_modified_Gaussian_distribution support "λ ∈ R".
- Exponentially_modified_Gaussian_distribution support "μ ∈ R".
- Exponentially_modified_Gaussian_distribution support "σ ∈ R".
- Exponentially_modified_Gaussian_distribution type "density".
- Exponentially_modified_Gaussian_distribution subject Category:Compound_distributions.
- Exponentially_modified_Gaussian_distribution subject Category:Continuous_distributions.
- Exponentially_modified_Gaussian_distribution subject Category:Probability_distributions.
- Exponentially_modified_Gaussian_distribution type Abstraction100002137.
- Exponentially_modified_Gaussian_distribution type Arrangement105726596.
- Exponentially_modified_Gaussian_distribution type Cognition100023271.
- Exponentially_modified_Gaussian_distribution type CompoundDistributions.
- Exponentially_modified_Gaussian_distribution type ContinuousDistributions.
- Exponentially_modified_Gaussian_distribution type Distribution105729036.
- Exponentially_modified_Gaussian_distribution type PsychologicalFeature100023100.
- Exponentially_modified_Gaussian_distribution type Structure105726345.
- Exponentially_modified_Gaussian_distribution comment "In probability theory, an exponentially modified Gaussian (EMG) distribution (ExGaussian distribution) describes the sum of independent normal and exponential random variables. An exGaussian random variable Z may be expressed as Z= X + Y where X and Y are independent, X is Gaussian with mean μ and variance σ2 and Y is exponential of rate λ.".
- Exponentially_modified_Gaussian_distribution label "Exponentially modified Gaussian distribution".
- Exponentially_modified_Gaussian_distribution sameAs m.0hzm99m.
- Exponentially_modified_Gaussian_distribution sameAs Q5421535.
- Exponentially_modified_Gaussian_distribution sameAs Q5421535.
- Exponentially_modified_Gaussian_distribution sameAs Exponentially_modified_Gaussian_distribution.
- Exponentially_modified_Gaussian_distribution wasDerivedFrom Exponentially_modified_Gaussian_distribution?oldid=605088099.
- Exponentially_modified_Gaussian_distribution depiction EMG_Distribution_PDF.png.
- Exponentially_modified_Gaussian_distribution isPrimaryTopicOf Exponentially_modified_Gaussian_distribution.