Statistics::LogNormalFit Function

Overload List

#SignatureDescription
1void LogNormalFit(TVec *X, double &mu, double &sigma);Calculate parameters for log-normally distributed values.
2void LogNormalFit(TVec *X, double &mu, double &sigma, DewArray<double> &PCIMu, DewArray<double> &PCISigma, double Alpha = 0.05);Calculate parameters for log-normally distributed values.

Overload 1: void LogNormalFit(TVec *X, double &mu, double &sigma);

Calculate parameters for log-normally distributed values.

#NameTypeDescription
1XTVec *
2mudouble &
3sigmadouble &
Examples
#include "MtxExpr.h"
#include "Units.StatRandom.h"
#include "Units.Statistics.h"

using namespace Dew;
using namespace Dew::Math;
using namespace Dew::Stats;
using namespace Dew::Stats::Units::StatRandom;
using namespace Dew::Stats::Units::Statistics;

void Example()
{
    Vector Data;
    double mu, sigma;
    DewArray<double> MuCI(2), SigmaCI(2);

    Data.Size(100);
    RandomLogNormal(3,0.2,Data);
    LogNormalFit(Data,mu,sigma,MuCI,SigmaCI);
    // mu approx 3.0
    // sigma approx 0.2
}
Declared in Dew::Stats::Units::Statistics · Dew.Stats/Units.Statistics.h · Cross-compiler

Overload 2: void LogNormalFit(TVec *X, double &mu, double &sigma, DewArray<double> &PCIMu, DewArray<double> &PCISigma, double Alpha = 0.05);

Calculate parameters for log-normally distributed values.

#NameTypeDescription
1XTVec *Stores data which is assumed to be log-normaly distributed.
2mudouble &Return log-normal distribution parameter estimator M u.
3sigmadouble &Return log-normal distribution parameter estimator Sigma.
4PCIMuDewArray<double> &Mu (1-Alpha)*100 percent confidence interval.
5PCISigmaDewArray<double> &Sigma (1-Alpha)*100 percent confidence interval.
6Alpha = 0.05doubleConfidence interval percentage.
Examples
#include "MtxExpr.h"
#include "Units.StatRandom.h"
#include "Units.Statistics.h"

using namespace Dew;
using namespace Dew::Math;
using namespace Dew::Stats;
using namespace Dew::Stats::Units::StatRandom;
using namespace Dew::Stats::Units::Statistics;

void Example()
{
    Vector Data(0);
    Data.Size(100, false);
    RandomLogNormal(3, 0.2, Data, -1);
    double mu, sigma;
    DewArray<double> MuCI(2);
    DewArray<double> SigmaCI(2);
    LogNormalFit(Data, mu, sigma, MuCI, SigmaCI, 0.05);
    // mu approx 3.0
    // sigma approx 0.2
}
See Also: RandomLogNormal
Declared in Dew::Stats::Units::Statistics · Dew.Stats/Units.Statistics.h · Cross-compiler