Difference between revisions of "DensLogNormal"
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[[Category: Analytic Distribution Functions]] | [[Category: Analytic Distribution Functions]] | ||
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== DensLogNormal(x, ''median, gsdev, mean, stddev'') == | == DensLogNormal(x, ''median, gsdev, mean, stddev'') == |
Revision as of 02:55, 29 September 2018
DensLogNormal(x, median, gsdev, mean, stddev)
Returns the probability density of a log normal distribution at a given point. Exactly two of the distribution parameters «median», «gsdev», «mean» and «stddev» must be specified, or an error results. It is best to used a named parameter convention with parameters to make it clear. Hence, each of these usages are possible:
Dens_LogNormal(x, median: median, gsdev: gsdev)
Dens_LogNormal(x, median: median, mean: mean)
Dens_LogNormal(x, median: median, stddev: stddev)
Dens_LogNormal(x, gsdev: gsdev, mean: mean)
Dens_LogNormal(x, gsdev: gsdev, stddev: stddev)
Dens_LogNormal(x, mean: mean, stddev: stddev)
With the first parameter, «x», removed, the parameters match those of the built-in LogNormal distribution.
Library
This function is a built-in function as of Analytica 5.1. In earlier releases, you can use the Dens_LogNormal function in the Distribution Densities Library (Distribution Densities.ana).
See Also
- LogNormal distribution function
- CumLogNormal, CumLogNormalInv
- DensNormal
- Distribution Densities Library
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