Statistics.UniformFit Method

Overload List

#	Signature	Description
1	procedure UniformFit(const X: TVec; out low: Double; out high: Double);	Calculate parameters for uniformly distributed values.
2	procedure UniformFit(const X: TVec; out low: Double; out high: Double; var PCILow: TDoubleArray; var PCIHigh: TDoubleArray; Alpha: Double);	Calculate parameters for uniformly distributed values.

Overload 1: procedure UniformFit(const X: TVec; out low: Double; out high: Double);

Calculate parameters for uniformly distributed values.

#	Name	Type
1	X	TVec
2	low	Double
3	high	Double

Result: stored in self (calling object)

Examples

Uses MtxExpr, Math387, Statistics;
procedure Example;
var vec1: Vector;
resLow, resHigh : double;
CILow,CIHigh: TTwoElmReal;
begin
    // first, generate 1000 randomly Uniformly distributed
    // numbers with parameters Low=1.5 and High =2.2
    vec1.Size(1000);
    RandomUniform(1.5,2.2,vec1);
    // Now extract the Low,High and their 95% confidence intervals.
    UniformFit(vec1,resLow,resHigh,CILow,CIHigh);
end;

Overload 2: procedure UniformFit(const X: TVec; out low: Double; out high: Double; var PCILow: TDoubleArray; var PCIHigh: TDoubleArray; Alpha: Double);

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)

See Also: StatRandom.RandomUniform, Probabilities.UniformStat