Diffpack Documentation

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NormalDistr Class Reference

normal (gaussian) distribution functions. More...

#include <ProbDistr.h>

Inheritance diagram for NormalDistr::

List of all members.

Public Methods
	NormalDistr (const ProbDistr_prm &pm_)
virtual real	f (real x)
virtual real	F (real x)
virtual real	Finv (real p)
virtual real	expec ()
virtual real	stdev ()
Static Public Methods
real	density (real x)
real	cum (real x)
real	cumInv (real p)
Interval(real)	confidence (real alpha)
Interval(real)	H0 (real alpha, enum UnEqual tp)

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Detailed Description

normal (gaussian) distribution functions.

NAME: NormalDistr - normal (gaussian) distribution functions

DESCRIPTION:

Convention when using "ProbDistr_prm": parameter 1 is the mean and parameter 2 is the standard deviation.

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Constructor & Destructor Documentation

NormalDistr::NormalDistr ( const ProbDistr_prm & pm_ ) [inline]

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Member Function Documentation

real NormalDistr::F ( real x ) [virtual]

returns the value of the cumulative distribution function. Reimplemented from ProbDistr. Reimplemented in LogNormalDistr.

real NormalDistr::Finv ( real p ) [virtual]

returns the value of the inverse of the cumulative distribution function. Reimplemented from ProbDistr. Reimplemented in LogNormalDistr.

Interval(real) NormalDistr::H0 ( real alpha, enum UnEqual tp ) [static]

Interval(real) NormalDistr::confidence ( real alpha ) [static]

real NormalDistr::cum ( real x ) [static]

real NormalDistr::cumInv ( real p ) [static]

real NormalDistr::density ( real x ) [static]

real NormalDistr::expec ( ) [virtual]

returns the expectation (mean). Reimplemented from ProbDistr. Reimplemented in LogNormalDistr.

real NormalDistr::f ( real x ) [virtual]

returns the value of the density function. Reimplemented from ProbDistr. Reimplemented in LogNormalDistr.

real NormalDistr::stdev ( ) [virtual]

returns the standard deviation. Reimplemented from ProbDistr. Reimplemented in LogNormalDistr.

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The documentation for this class was generated from the following file:

• ProbDistr.h

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