wns::evaluation::statistics Namespace Reference

Classes
class	DLRE
	Class DLRE: Discrete LRE (LRE III), base class. More...
class	DLREF
	Class DLREF: Discrete LRE (LRE III) for distribution function. More...
class	DLREG
	Class DLREG: Discrete LRE (LRE III) for complementary distribution function. More...
class	DLREP
	Class DLREP: Discrete LRE (LRE III), probability function. More...
class	Moments
	Class Moments: Simple stat. evaluation: mean, variance, skewness etc. More...
class	PDF
	Class PDF: Probability Distribution Function. This class can be used to output the distribution function, the complementary distribution function, and the probability function of a given random x-sequence. The user only has to define the left and right border of the x-axis, the given x-values are expected to lie in, and the resolution of this range on the x-axis, i.e. the number of intervals. This algorithm does not consider correlation at all and, thus, cannot be used for controlling the length of a simulation run. This algorithm is especially useful, when you have to examine a fixed set of values or when you want to gain a first notion of the behaviour of a correlated sequence of values. More...
class	StatEval
	Class StatEval: Base class for statistical evaluation. More...
class	StatEvalInterface
Typedefs
typedef wns::PyConfigViewCreator < StatEvalInterface, StatEvalInterface >	Creator
typedef wns::StaticFactory < Creator >	Factory
Functions
template<typename T>
T	getMaxError ()
template<>
double	getMaxError< double > ()

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Typedef Documentation

typedef wns::PyConfigViewCreator<StatEvalInterface, StatEvalInterface> wns::evaluation::statistics::Creator

Definition at line 327 of file stateval.hpp.

typedef wns::StaticFactory<Creator> wns::evaluation::statistics::Factory

Definition at line 328 of file stateval.hpp.

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Function Documentation

template<typename T>

T wns::evaluation::statistics::getMaxError

(

)

[inline]

template<>

double wns::evaluation::statistics::getMaxError< double >

(

)

[inline]