Overload List
| # | Signature | Description |
|---|---|---|
| 1 | void PoissonFit(TVec *X, double &lambda); | Calculate parameters for Poisson distributed values. |
| 2 | void PoissonFit(TVec *X, double &lambda, DewArray<double> &lambdaConfInt, double Alpha = 0.05); | Calculate parameters for Poisson distributed values. |
Overload 1: void PoissonFit(TVec *X, double &lambda);
Calculate parameters for Poisson distributed values.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | X | TVec * | |
| 2 | lambda | double & |
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;
double resLambda;
DewArray<double> CILambda(2);
VectorInt ivec1;
// first, generate 500 randomly Poiss. distributed
// numbers with parameter lambda=1.17
ivec1.Size(500);
RandomPoisson(1.17,ivec1);
vec1.Copy(ivec1);
// Now, extract the lambda and its 95%
// confidence interval
PoissonFit(vec1,resLambda,CILambda);
}Declared in Dew::Stats::Units::Statistics · Dew.Stats/Units.Statistics.h · Cross-compiler
Overload 2: void PoissonFit(TVec *X, double &lambda, DewArray<double> &lambdaConfInt, double Alpha = 0.05);
Calculate parameters for Poisson distributed values.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | X | TVec * | Stores data which is assumed to be Poisson distributed. |
| 2 | lambda | double & | Returns Poisson distribution parameter estimator. |
| 3 | lambdaConfInt | DewArray<double> & | Lambda (1-Alpha)*100 percent confidence interval. |
| 4 | Alpha = 0.05 | double | Confidence 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(500,false);
VectorInt ivec1(500);
// first, generate 500 randomly Poiss. distributed
// numbers with parameter lambda=1.17
RandomPoisson(1.17,ivec1,-1);
vec1.Copy(ivec1);
// Now, extract the lambda and its 95%
// confidence interval
double resLambda;
DewArray<double> CILambda(2);
PoissonFit(vec1,resLambda,CILambda,0.05);
}See Also: RandomPoisson, PoissonStat
Declared in Dew::Stats::Units::Statistics · Dew.Stats/Units.Statistics.h · Cross-compiler