Overload List
| # | Signature | Description |
|---|---|---|
| 1 | void UniformDFit(TVec X, ref Int32 N) | Calculate parameters for discrete uniformly distributed values. |
| 2 | void UniformDFit(TVec X, ref Int32 N, ref Double[] NConfInt, Double Alpha) | Calculate parameters for discrete uniformly distributed values. |
Overload 1: void UniformDFit(TVec X, ref Int32 N)
Calculate parameters for discrete uniformly distributed values.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | X | TVec | source TVec |
| 2 | N | Int32 (ref) | output |
Result: stored in self (calling object)
Overload 2: void UniformDFit(TVec X, ref Int32 N, ref Double[] NConfInt, Double Alpha)
Calculate parameters for discrete uniformly distributed values.
| # | Name | Description |
|---|---|---|
| 1 | X | Stores data which is assumed to be discrete uniformly distributed. |
| 2 | N | Returns discrete uniform distribution parameter estimator. |
| 3 | NConfInt | N (1-Alpha)*100 percent confidence interval. |
| 4 | 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 disc.uniformly distributed
// numbers with parameter N = 12
StatRandom.RandomUniformD(12, vec1, -1);
// Now, extract N and its 95%
// confidence interval
int resN;
double[] CIN = new double[2];
Statistics.UniformDFit(vec1, out resN, out CIN, 0.05);
}
}See Also: StatRandom.RandomUniformD, Probabilities.UniformDStat