Statistical functions

Probability density functions, cumulative distribution functions and their inverses (quantiles) for various statistical distributions (continuous and discrete). More...

Collaboration diagram for Statistical functions:

Modules
	Probability Density Functions (PDF)
	Probability density functions of various statistical distributions (continuous and discrete).
	Cumulative Distribution Functions (CDF)
	Cumulative distribution functions of various distributions.
	Statistical functions from truncated distributions
	Statistical functions for the truncated distributions.
	Quantile Functions
	Inverse functions of the cumulative distribution functions and the inverse of the complement of the cumulative distribution functions for various distributions.

Namespaces
	ROOT
	Namespace for new ROOT classes and functions.
	ROOT::Math

Classes
class	ROOT::Math::Vavilov
	Base class describing a Vavilov distribution. More...
class	ROOT::Math::VavilovAccurate
	Class describing a Vavilov distribution. More...
class	ROOT::Math::VavilovAccurateCdf
	Class describing the Vavilov cdf. More...
class	ROOT::Math::VavilovAccurateQuantile
	Class describing the Vavilov quantile function. More...
class	ROOT::Math::VavilovFast
	Class describing a Vavilov distribution. More...

Enumerations
enum	{ ROOT::Math::VavilovAccurate::MAXTERMS =500 }
enum	{ ROOT::Math::VavilovAccurate::kNquantMax =32 }

Detailed Description

Probability density functions, cumulative distribution functions and their inverses (quantiles) for various statistical distributions (continuous and discrete).

Whenever possible the conventions followed are those of the CRC Concise Encyclopedia of Mathematics, Second Edition (or Mathworld). By convention the distributions are centered around 0, so for example in the case of a Gaussian there is no parameter mu. The user must calculate the shift themselves if they wish.

MathCore provides the majority of the probability density functions, of the cumulative distributions and of the quantiles (inverses of the cumulatives). Additional distributions are also provided by the MathMore library.

Enumeration Type Documentation

anonymous enum

private

Enumerator
MAXTERMS

Definition at line 332 of file VavilovAccurate.h.

anonymous enum

private

Enumerator
kNquantMax

Definition at line 339 of file VavilovAccurate.h.