Statistics::BinomFit Function

Statistics Namespace

Overload List

#SignatureDescription
1void BinomFit(TVec *X, double N, TVec *p);Calculate parameters for binomial distributed values.
2void BinomFit(TVec *X, TVec *N, TVec *p);
3void BinomFit(TVec *X, double N, TVec *p, TVec *Low, TVec *High, double Alpha = 0.05);Calculate parameters for binomial distributed values.
4void BinomFit(TVec *X, int &N, double &p);

Overload 1: void BinomFit(TVec *X, double N, TVec *p);

Calculate parameters for binomial distributed values.

#NameTypeDescription
1XTVec *
2Ndouble
3pTVec *
Examples
#include "MtxExpr.h"
#include "MtxExprInt.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 vec1;
    Vector LowInt, HighInt, p;
    VectorInt ivec1;

    ivec1.Size(1000);
    RandomBinom(35, 0.25, ivec1);
    vec1.Copy(ivec1);
    // Now extract p-s and its 100*(1-Alpha)
    // confidence intervals.
    BinomFit(vec1, 35, p, LowInt, HighInt);
    // vector p holds the p for each element in vec1,
    // vectors LowInt and HighInt hold the lower and upper conf. int. limit
    // for each element in p
}
Declared in Dew::Stats::Units::Statistics · Dew.Stats/Units.Statistics.h · Cross-compiler

Overload 2: void BinomFit(TVec *X, TVec *N, TVec *p);

#NameTypeDescription
1XTVec *
2NTVec *
3pTVec *
Declared in Dew::Stats::Units::Statistics · Dew.Stats/Units.Statistics.h · Cross-compiler

Overload 3: void BinomFit(TVec *X, double N, TVec *p, TVec *Low, TVec *High, double Alpha = 0.05);

Calculate parameters for binomial distributed values.

#NameTypeDescription
1XTVec *Stores data which is assumed to be binomial distributed.
2NdoubleDefines binomial distribution n parameter.
3pTVec *Returns binomial distribution p parameter, estimated at each X value.
4LowTVec *
5HighTVec *p (1-Alpha)*100 percent confidence intervals. Each pair of Low and High values defines lower and upper CI for corresponding p value.
6Alpha = 0.05doubleConfidence interval percentage.
Examples
#include "MtxExpr.h"
#include "MtxExprInt.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 vec1(1000, false);
    Vector LowInt(0);
    Vector HighInt(0);
    Vector p(0);
    VectorInt ivec1(1000);
    RandomBinom(35, 0.25, ivec1, -1);
    vec1.Copy(ivec1);

    // Now extract p-s and its 100*(1-Alpha)
    // confidence intervals.

    BinomFit(vec1, 35, p, LowInt, HighInt, 0.05);

    // vector p holds the p for each element in vec1,
    // vectors LowInt and HighInt hold the lower and upper conf. int. limit
    // for each element in p
}
See Also: RandomBinom, BinomStat
Declared in Dew::Stats::Units::Statistics · Dew.Stats/Units.Statistics.h · Cross-compiler

Overload 4: void BinomFit(TVec *X, int &N, double &p);

#NameTypeDescription
1XTVec *
2Nint &
3pdouble &
Declared in Dew::Stats::Units::Statistics · Dew.Stats/Units.Statistics.h · Cross-compiler