Overload List
| # | Signature | Description |
|---|---|---|
| 1 | procedure PoissonFit(const X: TVec; out lambda: Double); | Calculate parameters for Poisson distributed values. |
| 2 | procedure PoissonFit(const X: TVec; out lambda: Double; var lambdaConfInt: TDoubleArray; Alpha: Double); | Calculate parameters for Poisson distributed values. |
Overload 1: procedure PoissonFit(const X: TVec; out lambda: Double);
Calculate parameters for Poisson distributed values.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | X | TVec | |
| 2 | lambda | Double |
Result: stored in self (calling object)
Examples
var vec1: Vector;
resLambda: double;
CILambda: TTwoElmReal;
begin
// first, generate 500 randomly Poiss. distributed
// numbers with parameter lambda=1.17
vec1.Size(500);
RandomPoisson(1.17,vec1);
// Now, extract the lambda and its 95%
// confidence interval
PoissonFit(vec1,resLambda,CILambda);
end;Overload 2: procedure PoissonFit(const X: TVec; out lambda: Double; var lambdaConfInt: TDoubleArray; Alpha: Double);
Calculate parameters for Poisson distributed values.
| # | Name | Description |
|---|---|---|
| 1 | X | Stores data which is assumed to be Poisson distributed. |
| 2 | lambda | Returns Poisson distribution parameter estimator. |
| 3 | lambdaConfInt | Lambda (1-Alpha)*100 percent confidence interval. |
| 4 | Alpha | Confidence interval percentage. |
Result: stored in self (calling object)
See Also: StatRandom.RandomPoisson, Probabilities.PoissonStat