HyperMath

LogNormInvCDF

LogNormInvCDF

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LogNormInvCDF

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Generates log-normal distribution inverse cumulative density function values at specified locations.

Syntax

X = LogNormInvCDF(Prob, Mean, Std)

Arguments

Name

Description

 

Prob

A scalar, vector, or matrix of probabilities in the interval (0,1) where the inverse cumulative density function is to be evaluated.

 

Mean

Mean of the log of the distribution. A scalar.

 

Std

Standard deviation of the log of the distribution. A positive scalar.

Outputs

Name

Description

 

X

A scalar, vector, or matrix of the inverse cumulative density function values for the given probabilities. The same size as Prob.

Example

Find the log-normal inverse cumulative density function for probabilities 0.1, 0.3, and 0.8 with parameters Mu = 2 and sigma = 5.

 

Syntax

 

 

x = LogNormInvCDF([0.1,0.3,0.8],2,5)

 

Results

 

 

x = 0.012182    0.53687    496.76

See Also:

LogNormCDF

LogNormPDF

Probability Distributions