npstat::AbsCGF1D Struct Referenceabstract
Inheritance diagram for npstat::AbsCGF1D:
Member Function Documentation◆ clone()
Virtual copy constructor Implemented in npstat::SeriesCGF1D. ◆ convexLimit()
Search empirically for the maximum value of s for which this CGF remains convex. This function should search for the closest to 0 root of the CGF second derivative on the interval [0, slimit]. It should return 0.0 if no such root was found. ◆ derivative()
CGF derivatives. Get cum[order] by setting s to 0. Implemented in npstat::SeriesCGF1D. ◆ isEqual()
Comparison for equality. To be implemented by derived classes. Implemented in npstat::SeriesCGF1D. ◆ lugannaniRiceSFApprox()
Lugannani-Rice approximation for the survival function. The approximation employs a series which looks like c0/N^{1/2} + c1/N^{3/2} + c2/N^{5/2} + ... The parameter "nTerms" specifies the number of terms in the series to use and, thereby, the approximation order. ◆ operator!=()
Logical negation of operator== ◆ operator()()
CGF value ◆ operator==()
Derived classes should not implement "operator==", implement "isEqual" instead ◆ saddlepoint()
Solution of the saddlepoint equation CGF'(s) == x ◆ saddlepointDensityApprox()
Saddlepoint density approximation. Parameter "order" is the approximation order (e.g., order = 2 means O(N^-2)). This parameter must be positive. The raw, unnormalized approximation is returned. ◆ shiftAndScale()
CGF for the variable (X - mu)/sigma. Created on the heap and must be later deleted by the user. Implemented in npstat::SeriesCGF1D. ◆ smax()
Supremum of the support Implemented in npstat::SeriesCGF1D. ◆ smin()
Infimum of the support Implemented in npstat::SeriesCGF1D. ◆ standardizedCumulant()
Standardized cumulant for s-tilted density The documentation for this struct was generated from the following file:
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