Overload List
| # | Signature | Description |
|---|---|---|
| 1 | void UniformFit(TVec X, ref Double low, ref Double high) | Calculate parameters for uniformly distributed values. |
| 2 | void UniformFit(TVec X, ref Double low, ref Double high, ref Double[] PCILow, ref Double[] PCIHigh, Double Alpha) | Calculate parameters for uniformly distributed values. |
Overload 1: void UniformFit(TVec X, ref Double low, ref Double high)
Calculate parameters for uniformly distributed values.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | X | TVec | source TVec |
| 2 | low | Double (ref) | output |
| 3 | high | Double (ref) | output |
Result: stored in self (calling object)
Overload 2: void UniformFit(TVec X, ref Double low, ref Double high, ref Double[] PCILow, ref Double[] PCIHigh, Double Alpha)
Calculate parameters for uniformly distributed values.
| # | Name | Description |
|---|---|---|
| 1 | X | Stores data which is assumed to be uniformly distributed. |
| 2 | low | Return uniform distribution parameter estimator Low. |
| 3 | high | Return uniform distribution parameter estimator High. |
| 4 | PCILow | Low (1-Alpha)*100 percent confidence interval. |
| 5 | PCIHigh | High (1-Alpha)*100 percent confidence interval. |
| 6 | Alpha | Confidence interval percentage. |
Result: stored in self (calling object)
Examples
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,-1);
// Now extract the Low,High and their 95% confidence intervals.
double resLow,resHigh;
double[] CILow = new double[2];
double[] CIHigh = new double[2];
Statistics.UniformFit(vec1,out resLow,out resHigh,out CILow,out CIHigh, 0.05);
}
}See Also: StatRandom.RandomUniform, Probabilities.UniformStat