The Independence copula
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The Independence copula is the copula that results
from a dependency structure in which each individual variable is independent of
each other. It is an Archimedean
copula, and exchangeable.
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Copula name
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Independence
copula
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Common notation
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Parameters
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None
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Domain
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Copula
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Kendall’s rank
correlation coefficient (for bivariate case)
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Coefficient of upper
tail dependence, 
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Coefficient of lower
tail dependence, 
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Archimedean generator
function, 
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Other comments
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The independence copula is a special case of several Archimedean copulas.
It is also the special case of the Gaussian copula with a correlation matrix
equal to the identity matrix.
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Nematrian web functions
Functions relating to the above distribution may be accessed
via the Nematrian
web function library by using a DistributionName of “Independence Copula”.
For details of other supported probability distributions see here.
NAVIGATION LINKS
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