LOGNORM_DIST
Updated: 31 July 2015
Use LOGNORM_DIST to calculate the probability density function or the cumulative distributive function of the normal distribution of x, when ln(x) is normally distributed with parameters µ and d.
Syntax
SELECT [wct].[LOGNORM_DIST](
<@X, float,>
,<@Mean, float,>
,<@Standard_dev, float,>
,<@Cumulative, bit,>)
Arguments
@X
the value of interest. @X must be of a type float or of type that intrinsically converts to float.
@Mean
the average of ln(x). @Mean must be of a type float or of type that intrinsically converts to float.
@Standard_dev
the standard deviation of ln(x). @Standard_dev must be of a type float or of type that intrinsically converts to float.
@Cumulative
a bit value identifying whether the probability density function ('False') or the cumulative distribution function ('True') is to be returned. @Cumulative is of a type bit or a type that implicitly converts to bit.
Return Type
float
Remarks
· 0 < @X
· 0 < @Standard_dev
Examples
Calculate the lognormal distribution with x = 4 and the mean of ln(x) = 3.5 and the standard deviation of ln(x) = 1.2
SELECT
wct.LOGNORM_DIST(
4 --@X
,3.5 --@Mean
,1.2 --@Standard_dev
,'False' --@Cumulative
) as pdf
This produces the following result
In this example we calculate the cumulative distribution function.
SELECT
wct.LOGNORM_DIST(
4 --@X
,3.5 --@Mean
,1.2 --@Standard_dev
,'True' --@Cumulative
) as cdf
This produces the following result.
The lognormal distribution is related to the standard normal distribution.
SELECT
wct.LOGNORM_DIST(x,mu,sigma,'True') as cdf
,wct.NORM_S_DIST((log(x)-mu)/sigma,'True') as cdf
FROM (VALUES(4,3.5,1.2))n(x,mu,sigma)
This produces the following result.
See Also