Example 1

  Uses MtxExpr, Math387, Statistics;
  procedure Example;
  var vec1: Vector;
    resLow, resHigh : TSample;
    CILow,CIHigh: TTwoElmReal;
  begin
	  // first, generate 1000 randomly Weibull distributed
	  // numbers with parameters Low=1.5 and High =2.2
	  vec1.Size(1000);
	  RandomUniform(1.5,2.2,vec1);
    // Now extract the Low,High and their 95% confidence intervals.
    UniformFit(vec1,resLow,resHigh,CILow,CIHigh);
  end;

  #include "StatRandom.hpp"
  #include "MtxVecCpp.h"
  #include "Statistics.hpp"
  void __fastcall Example();
  {
    Vector vec1;
	  // first, generate 1000 randomly Weibull distributed
	  // numbers with parameters Low=1.5 and High =2.2
	  vec1->Size(1000,false);
	  RandomUniform(1.5,2.2,vec1);
    // Now extract the Low,High and their 95% confidence intervals.
    double resLow,resHigh;
    double CILow[2];
    double CIHigh[2];
    UniformFit(vec1,resLow,resHigh,CILow,CIHigh,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 Weibull distributed
  	  // numbers with parameters Low=1.5 and High =2.2
	    StatRandom.RandomUniform(1.5,2.2,vec1);
      // Now extract the Low,High and their 95% confidence intervals.
      double resLow,resHigh;
      double[2] CILow;
      double[2] CIHigh;
      Statistics.UniformFit(vec1,out resLow,out resHigh,out CILow,out CIHigh, 0.05);
    }
  }