Example

The following example generates 100 random log-normally distributed values and then uses NormalFit routine to extract used Mu and Sigma parameters:

Uses StatRandom, Statistics, MtxExpr;
procecure Example;
  var Data :Vector;
  mu,sigma: double;
  MuCI, SigmaCI : TTwoElmReal;
begin
  Data.Size(100);
  RandomLogNormal(3,0.2,Data);
  LogNormalFit(Data,mu,sigma,MuCI,SigmaCI);
  // mu approx 3.0
  // sigma approx 0.2
end;

#include "StatRandom.hpp"
#include "MtxExpr.hpp"
#include "Statistics.hpp"
void __fastcall Example();
{
  sVector Data;
  Data.Size(100,false);
  RandomLogNormal(3,0.2,Data);
  double mu, sigma;
  TTwoElmReal MuCI;
  TTwoElmReal SigmaCI;
  LogNormalFit(Data,mu,sigma,MuCI,SigmaCI,0.05);

  // mu approx 3.0
  // sigma approx 0.2
}