UniformDFit Routines

Summary

Calculate parameters for discrete uniformly distributed values.

Declaration

Procedure UniformDFit(X: TVec; out N: Integer; out NConfInt: TTwoElmReal; Alpha: TSample = 0.05);

Parameter	Description
X	Stores data which is assumed to be discrete uniformly distributed.
N	Returns discrete uniform distribution parameter estimator.
NConfInt	N (1-Alpha)*100 percent confidence interval.
Alpha	Confidence interval percentage.

See Also
RandomUniformD
MVUniformD

Example 1

The following example generates 1000 random discrete uniform distributed values and then uses UniformDFit routine to extract used N parameter:

  var vec1: Vector;
    resN: Integer;
    CIN: TTwoElmReal;
  begin
    // first, generate 1000 randomly disc.uniformly distributed
    // numbers with parameter N = 12
    vec1.Size(1000);
    RandomUniformD(12,vec1);
    // Now, extract N and its 95%
    // confidence interval
    UniformDFit(vec1,resN,CIN);
  end;

  #include "StatRandom.hpp"
  #include "MtxVecCpp.h"
  #include "Statistics.hpp"
  void __fastcall Example();
  {
    Vector vec1;
    // first, generate 1000 randomly disc.uniformly distributed
    // numbers with parameter N = 12
    vec1->Size(1000,false);
    RandomUniformD(12,vec1);
    // Now, extract N and its 95%
    // confidence interval
    double resN;
    double CIN[2];
    UniformDFit(vec1,resN,CIN,0.05);
  }

  using Dew.Math;
  using Dew.Stats;
  using Dew.Stats.Units;
  namespace Dew.Examples;
  {
    private void Example()
    {
      Vector vec1 = new Vector(1000,false);
      // first, generate 1000 randomly disc.uniformly distributed
      // numbers with parameter N = 12
      StatRandom.RandomUniformD(12,vec1);
      // Now, extract N and its 95%
      // confidence interval
      double resN;
      double[2] CIN;
      Statistics.UniformDFit(vec1,out resN,out CIN,0.05);
    }
  }

Declaration

Procedure UniformDFit(X: TVec; out N: Integer);