AbstractContinuousDistribution Class Reference

Provides common base for various continues distributions. More...

Inheritance diagram for AbstractContinuousDistribution:

Collaboration diagram for AbstractContinuousDistribution:

Public Member Functions
_.DeepSee.extensions.stat.Abstract1DDistribution	GetDiscreteDistribution (_.Library.Double x0, _.Library.Double x1, _.Library.Integer n, _.Library.Status sc)
	Returns a discrete distribution between values x0 and x1 constructed from. More...
_.Library.Double	cdf (_.Library.Double x1, _.Library.Double x2)
	An interface method for cumulative distribution function (CDF). More...
_.Library.Double	pdf (_.Library.Double x)
	An interface method for probability distribution function (PDF). More...

Static Private Member Functions
_.Library.Boolean	IsContinuous ()
	Returns 1.

Additional Inherited Members
Public Attributes inherited from AbstractDistribution
	Entropy
	More...
	Mean
	More...
	Variance
	More...

Detailed Description

Provides common base for various continues distributions.

Member Function Documentation

GetDiscreteDistribution()

_.DeepSee.extensions.stat.Abstract1DDistribution GetDiscreteDistribution	(	_.Library.Double	x0,
		_.Library.Double	x1,
		_.Library.Integer	n,
		_.Library.Status	sc
	)

Returns a discrete distribution between values x0 and x1 constructed from.

this continues distribution. The discrete distribution is divided into n bins.

cdf()

_.Library.Double cdf	(	_.Library.Double	x1,
		_.Library.Double	x2
	)

An interface method for cumulative distribution function (CDF).

Optionally provides a cumulative probability

of a value being between two values x1 and x2.

If called with 1 argument(x1) or if the value of second argument is empty string then returns CDF value for x1. If called with two arguments, x1 and x2 then returns a probability of a value being between x1 and x2.

Reimplemented in NormalDistribution, MixedDistribution, and ExpDistribution.

pdf()

_.Library.Double pdf

(

_.Library.Double

x

)

An interface method for probability distribution function (PDF).

Returns PDF value for x.

Reimplemented in NormalDistribution, MixedDistribution, and ExpDistribution.