Inheritance diagram for npstat::TruncatedDistribution1D:

Public Member Functions
	TruncatedDistribution1D (const AbsDistribution1D &distro, double xmin, double xmax, bool minAndMaxAreForCDF=false)

	TruncatedDistribution1D (const TruncatedDistribution1D &)

TruncatedDistribution1D &	operator= (const TruncatedDistribution1D &)

virtual TruncatedDistribution1D *	clone () const

virtual double	density (double x) const

virtual double	cdf (double x) const

virtual double	exceedance (double x) const

virtual double	quantile (double x) const

virtual gs::ClassId	classId () const

virtual bool	write (std::ostream &os) const

Public Member Functions inherited from npstat::AbsDistribution1D
bool	operator== (const AbsDistribution1D &r) const

bool	operator!= (const AbsDistribution1D &r) const

virtual unsigned	random (AbsRandomGenerator &g, double *generatedRandom) const

long double	empiricalMoment (long double center, unsigned order, unsigned nIntegrationPoints=1024U, bool useFejerQuadrature=false) const

template<class Functor >
double	expectation (const Functor &fcn, unsigned nIntegrationPoints=1024U, bool useFejerQuadrature=false) const

Static Public Member Functions
static const char *	classname ()

static unsigned	version ()

static TruncatedDistribution1D *	read (const gs::ClassId &id, std::istream &)

Static Public Member Functions inherited from npstat::AbsDistribution1D
static const char *	classname ()

static unsigned	version ()

static AbsDistribution1D *	read (const gs::ClassId &id, std::istream &)

Protected Member Functions
virtual bool	isEqual (const AbsDistribution1D &) const

Constructor & Destructor Documentation

◆ TruncatedDistribution1D()

npstat::TruncatedDistribution1D::TruncatedDistribution1D	(	const AbsDistribution1D &	distro,
		double	xmin,
		double	xmax,
		bool	minAndMaxAreForCDF = `false`
	)

Constructor arguments are as follows:

distro – distribution whose support we want to truncate

xmin, xmax – new limits for the support

minAndMaxAreForCDF – if this argument is "true" then the limits are given for the cumulative distribution values and must both be between 0 and 1. They will be internally converted into the new limits of the support region.