Risk theory Decision-making
under uncertainty

Description

A random variable has lognormal distribution with parameters , , if , where has a normal distribution with the same parameters , . Lognormal random variable is continuous and takes only positive values. Graphs of a density function (bound to the left axis) and cumulative distribution function (bound to the right axis) with parameters =0, =0.7 are shown on the following picture.. Graph of lognormal density and CDF

Characteristics

Next table contains formulae for calculation of characteristics of lognormal distribution.

Density function
CDF*
Expectation
Standard deviation
Variance
Asymmetry
Mode
* Lognormal CDF does not possess closed form expression.

Simulation

Simulation of lognormal variable with parameters , is made by , where has normal distribution with the same parameters. Simulation of normal variables is presented here.

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