Statistics.BinomFit Method

Overload List

#	Signature	Description
1	void BinomFit(TVec X, TVec N, TVec p)
2	void BinomFit(TVec X, Double N, TVec p)	Calculate parameters for binomial distributed values.
3	void BinomFit(TVec X, Double N, TVec p, TVec Low, TVec High, Double Alpha)	Calculate parameters for binomial distributed values.
4	void BinomFit(TVec X, ref Int32 N, ref Double p)

Overload 1: void BinomFit(TVec X, TVec N, TVec p)

#	Name	Type	Description
1	X	TVec	source TVec
2	N	TVec	source TVec
3	p	TVec	source TVec

Result: stored in self (calling object)

Overload 2: void BinomFit(TVec X, Double N, TVec p)

Calculate parameters for binomial distributed values.

#	Name	Type	Description
1	X	TVec	source TVec
2	N	Double	scalar
3	p	TVec	source TVec

Result: stored in self (calling object)

Overload 3: void BinomFit(TVec X, Double N, TVec p, TVec Low, TVec High, Double Alpha)

Calculate parameters for binomial distributed values.

#	Name	Description
1	X	Stores data which is assumed to be binomial distributed.
2	N	Defines binomial distribution n parameter.
3	p	Returns binomial distribution p parameter, estimated at each X value.
4	Low
5	High	p (1-Alpha)*100 percent confidence intervals. Each pair of Low and High values defines lower and upper CI for corresponding p value.
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);
        Vector LowInt = new Vector(0);
        Vector HighInt = new Vector(0);
        Vector p = new Vector(0);
        StatRandom.RandomBinom(35, 0.25, vec1, -1);

        // Now extract p-s and its 100*(1-Alpha)
        // confidence intervals.

        Statistics.BinomFit(vec1, 35, p, LowInt, HighInt, 0.05);

        // vector p holds the p for each element in vec1,
        // vectors LowInt and HighInt hold the lower and upper conf. int. limit
        // for each element in p
    }
}

See Also: StatRandom.RandomBinom, Probabilities.BinomStat

Overload 4: void BinomFit(TVec X, ref Int32 N, ref Double p)

#	Name	Type	Description
1	X	TVec	source TVec
2	N	Int32 (ref)	output
3	p	Double (ref)	output

Result: stored in self (calling object)