Overload List
| # | Signature | Description |
|---|---|---|
| 1 | void UniformDFit(TVec *X, int &N); | Calculate parameters for discrete uniformly distributed values. |
| 2 | void UniformDFit(TVec *X, int &N, DewArray<double> &NConfInt, double Alpha = 0.05); | Calculate parameters for discrete uniformly distributed values. |
Overload 1: void UniformDFit(TVec *X, int &N);
Calculate parameters for discrete uniformly distributed values.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | X | TVec * | |
| 2 | N | int & |
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 vec1;
int resN;
DewArray<double> CIN(2);
// 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);
}Declared in Dew::Stats::Units::Statistics · Dew.Stats/Units.Statistics.h · Cross-compiler
Overload 2: void UniformDFit(TVec *X, int &N, DewArray<double> &NConfInt, double Alpha = 0.05);
Calculate parameters for discrete uniformly distributed values.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | X | TVec * | Stores data which is assumed to be discrete uniformly distributed. |
| 2 | N | int & | Returns discrete uniform distribution parameter estimator. |
| 3 | NConfInt | DewArray<double> & | N (1-Alpha)*100 percent confidence interval. |
| 4 | Alpha = 0.05 | double | Confidence 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 vec1(1000, false);
// first, generate 1000 randomly disc.uniformly distributed
// numbers with parameter N = 12
RandomUniformD(12, vec1, -1);
// Now, extract N and its 95%
// confidence interval
int resN;
DewArray<double> CIN(2);
UniformDFit(vec1, resN, CIN, 0.05);
}See Also: RandomUniformD, UniformDStat
Declared in Dew::Stats::Units::Statistics · Dew.Stats/Units.Statistics.h · Cross-compiler