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FinancialDerivative   (Built-in Mathematica Symbol)
FinancialDerivative[instrument, params, ambientparams] gives the value of the specified financial instrument.FinancialDerivative[instrument, params, ambientparams, prop] ...
CUDAFinancialDerivative   (CUDALink Symbol)
CUDAFinancialDerivative[instrument, params, ambientparams] gives the value of the specified financial instrument.CUDAFinancialDerivative[instrument, params, ambientparams, ...
CentralMoment   (Built-in Mathematica Symbol)
CentralMoment[list, r] gives the r\[Null]^th central moment of the elements in list with respect to their mean.CentralMoment[dist, r] gives the r\[Null]^th central moment of ...
TukeyLambdaDistribution   (Built-in Mathematica Symbol)
TukeyLambdaDistribution[\[Lambda]] represents Tukey's lambda distribution with shape parameter \[Lambda].TukeyLambdaDistribution[\[Lambda], \[Mu], \[Sigma]] represents ...
MultivariateTDistribution   (Built-in Mathematica Symbol)
MultivariateTDistribution[\[CapitalSigma], \[Nu]] represents the multivariate Student t distribution with scale matrix \[CapitalSigma] and degrees of freedom parameter ...
Do Statistical Analysis   (Mathematica How To)
These "How tos" give step-by-step instructions for common tasks related to statistics in Mathematica .
DirichletDistribution   (Built-in Mathematica Symbol)
DirichletDistribution[{\[Alpha]_1, ..., \[Alpha] k +1}] represents a Dirichlet distribution of dimension k with shape parameters \[Alpha]_i.
MultinormalDistribution   (Built-in Mathematica Symbol)
MultinormalDistribution[\[Mu], \[CapitalSigma]] represents a multivariate normal (Gaussian) distribution with mean vector \[Mu] and covariance matrix \[CapitalSigma].
BeckmannDistribution   (Built-in Mathematica Symbol)
BeckmannDistribution[\[Mu]_1, \[Mu]_2, \[Sigma]_1, \[Sigma]_2] represents the Beckmann distribution with means \[Mu]_1 and \[Mu]_2 and standard deviations \[Sigma]_1 and ...
BinormalDistribution   (Built-in Mathematica Symbol)
BinormalDistribution[{\[Mu]_1, \[Mu]_2}, {\[Sigma]_1, \[Sigma]_\ 2}, \[Rho]] represents a bivariate normal distribution with mean {\[Mu]_1, \[Mu]_2} and covariance matrix ...
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