Statistics.ExponentFit Method

Overload List

#	Signature	Description
1	procedure ExponentFit(const X: TVec; out mu: Double);	Calculate parameters for exponentialy distributed values.
2	procedure ExponentFit(const X: TVec; out mu: Double; var PCIMu: TDoubleArray; Alpha: Double);	Calculate parameters for exponentially distributed values.

Overload 1: procedure ExponentFit(const X: TVec; out mu: Double);

Calculate parameters for exponentialy distributed values.

#	Name	Type	Description
1	X	TVec
2	mu	Double

Result: stored in self (calling object)

Examples

Uses MtxExpr,Math387,Statistics, StatRandom;
procedure Example;
var vec1: Vector;
resMu: double;
CIMu: TTwoElmReal;
begin
    // first, generate 1000 randomly exp. distributed
    // numbers with parameter mu=4.13
    vec1.Size(1000);
    RandomExponent(4.13,vec1);
    // Now, extract the mu and its 95% confidence interval
    ExponentFit(vec1,resMu,CIMu);
end;

Overload 2: procedure ExponentFit(const X: TVec; out mu: Double; var PCIMu: TDoubleArray; Alpha: Double);

Calculate parameters for exponentially distributed values.

#	Name	Description
1	X	Stores data which is assumed to be exponentialy distributed.
2	mu	Returns exponential distribution parameter estimator.
3	PCIMu	Mu (1-Alpha)*100 percent confidence interval.
4	Alpha	Confidence interval percentage.

Result: stored in self (calling object)

See Also: StatRandom.RandomExponent, Probabilities.ExponentStat