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SOLUTIONS
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BUILT-IN MATHEMATICA SYMBOL
CopulaDistribution
CopulaDistribution[ker, {dist1, dist2, ...}]
represents a copula distribution with kernel distribution ker and marginal distributions
,
, ... .
DetailsDetails
- The cumulative distribution function is given by
, where
is the CDF for the kernel ker, and
is the CDF for
. - The following kernels ker can be used:
-
"Product" 
independent distributions "Maximal" 
Frechét-Hoeffding upper bound "Minimal" 
Frechét-Hoeffding lower bound {"Frank",
}
Frank copula {"Clayton",c} 
Clayton-Pareto copula {"GumbelHougaard",
}
Gumbel-Hougaard copula {"FGM",
}
Farlie-Gumbel-Morgenstern copula {"AMH",
}
Ali-Mikhail-Haq copula {"Binormal",
}
bivariate Gaussian with correlation 
{"Multinormal",
}
multivariate Gaussian with covariance 
{"MultivariateT",
,
}
multivariate
-distribution with scale matrix
and
degrees of freedom - For
,
can be any positive number in two dimensions and any positive number less than or equal to 1 in higher dimensions. - For
,
can be any positive number. - For
,
can be any real number greater than or equal to 1. - For
and
,
can be any real number between
and
. - The parameters for
,
, and
are the same as for BinormalDistribution, MultinormalDistribution, and MultivariateTDistribution, respectively. - CopulaDistribution can be used with such functions as Mean, PDF, and RandomVariate, etc.
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