npstat::ShiftableDiscreteDistribution1D Class Referenceabstract
Inheritance diagram for npstat::ShiftableDiscreteDistribution1D:
Detailed DescriptionThis base class is used to model discrete distributions which have "trivial" behavior w.r.t. location parameter. That is, if the distribution density is g(x), the density with location parameter "mu" is g(x - mu). Member Function Documentation◆ cdf()
Cumulative distribution function Implements npstat::AbsDiscreteDistribution1D. ◆ classId()
Method related to "geners" I/O Implements npstat::AbsDiscreteDistribution1D. Implemented in npstat::DiscreteTabulated1D. ◆ clone()
"Virtual copy constructor" Implements npstat::AbsDiscreteDistribution1D. Implemented in npstat::DiscreteTabulated1D. ◆ exceedance()
1 - cdf, implementations should avoid subtractive cancellation Implements npstat::AbsDiscreteDistribution1D. ◆ isEqual()
Derived classes should override the following method as long as they have at least one additional data member. Don't forget to call "isEqual" of the base class inside the derived classes. Implements npstat::AbsDiscreteDistribution1D. Reimplemented in npstat::DiscreteTabulated1D. ◆ location()
Get the location parameter ◆ probability()
Method overriden from the AbsDiscreteDistribution1D base class Implements npstat::AbsDiscreteDistribution1D. ◆ quantile()
The quantile function Implements npstat::AbsDiscreteDistribution1D. ◆ setLocation()
Set the location parameter The documentation for this class was generated from the following file: Generated by 1.9.1 |