zeus::TBinomialDistribution Class Reference

#include <BinomialDistribution.h>

Inheritance diagram for zeus::TBinomialDistribution:

List of all members.

Public Member Functions
	TBinomialDistribution (Int iN, const Float &rfProb)
virtual	~TBinomialDistribution ()
virtual Float MQUALIFIER	getEntropy () const
virtual Float MQUALIFIER	getExpectedValue () const
virtual Float MQUALIFIER	getMean () const
virtual Float MQUALIFIER	getMedian () const
virtual Float MQUALIFIER	getVariance () const
virtual Float MQUALIFIER	getStdDeviation () const
virtual Float MQUALIFIER	getMode () const
virtual Float MQUALIFIER	getSkewness () const
virtual Float MQUALIFIER	getCumulativeProb (const Float &rfStart, const Float &rfEnd) const
virtual Float MQUALIFIER	getProb (const Float &rfX) const
virtual Float MQUALIFIER	getSampleProb (Int iSample) const
Static Public Member Functions
static Float	getProbability (Int iN, Int iK, const Float &rfProb)
static void	sampleDistribution (Int iN, const Float &rfProb, TArrayList< TMappedValue > &rlstData)
static TDistribution	sampleDistribution (Int iN, const Float &fProb)

---

Detailed Description

This distribution class creates a binomial distribution

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Constructor & Destructor Documentation

zeus::TBinomialDistribution::TBinomialDistribution	(	Int	iN,
		const Float &	rfProb
	)		[inline]

Creates a binomial distribution

Parameters:

iN	: Number of trials
rfProb	: Success probability

virtual zeus::TBinomialDistribution::~TBinomialDistribution

(

)

[inline, virtual]

Destroys the distribution

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Member Function Documentation

Float MQUALIFIER TBinomialDistribution::getCumulativeProb	(	const Float &	rfStart,
		const Float &	rfEnd
	)		const [virtual]

See also:

IDistribution::getCumulativeProb

Implements zeus::IDistribution.

Float MQUALIFIER zeus::TBinomialDistribution::getEntropy

(

)

const [inline, virtual]

See also:

IDistribution::getEntropy

Implements zeus::IDistribution.

Float MQUALIFIER zeus::TBinomialDistribution::getExpectedValue

(

)

const [inline, virtual]

See also:

IDistribution::getExpectedValue

Implements zeus::IDistribution.

Float MQUALIFIER zeus::TBinomialDistribution::getMean

(

)

const [inline, virtual]

See also:

IDistribution::getMean

Implements zeus::IDistribution.

Float MQUALIFIER zeus::TBinomialDistribution::getMedian

(

)

const [inline, virtual]

See also:

IDistribution::getMedian

Implements zeus::IDistribution.

Float MQUALIFIER zeus::TBinomialDistribution::getMode

(

)

const [inline, virtual]

See also:

IDistribution::getMode

Implements zeus::IDistribution.

Float MQUALIFIER zeus::TBinomialDistribution::getProb

(

const Float &

rfX )

const [inline, virtual]

See also:

IDistribution::getProb

Implements zeus::IDistribution.

Float zeus::TBinomialDistribution::getProbability	(	Int	iN,
		Int	iK,
		const Float &	rfProb
	)		[inline, static]

returns the probability of the binomial distribution at position iK

Parameters:

iN	: Number of trials
rfProb,:	Success probability
iK	: Success trials

Returns:

probability

Float MQUALIFIER zeus::TBinomialDistribution::getSampleProb

(

Int

iSample )

const [inline, virtual]

See also:

IDistribution::getSampleProb

Implements zeus::IDistribution.

Float MQUALIFIER zeus::TBinomialDistribution::getSkewness

(

)

const [inline, virtual]

See also:

IDistribution::getSkewness

Implements zeus::IDistribution.

Float MQUALIFIER zeus::TBinomialDistribution::getStdDeviation

(

)

const [inline, virtual]

See also:

IDistribution::getStdDeviation

Implements zeus::IDistribution.

Float MQUALIFIER zeus::TBinomialDistribution::getVariance

(

)

const [inline, virtual]

See also:

IDistribution::getVariance

Implements zeus::IDistribution.

TDistribution TBinomialDistribution::sampleDistribution	(	Int	iN,
		const Float &	rfProb
	)		[static]

This static method returns a binomial distribution. Note that the distribution is larger by one, than the number of items.

Parameters:

iN	: Number of trials
rfProb	: Probability of success

Returns:

distribution object

void TBinomialDistribution::sampleDistribution	(	Int	iN,
		const Float &	rfProb,
		TArrayList< TMappedValue > &	rlstData
	)		[static]

This static method returns a binomial distribution. Note that the distribution is larger by one, than the number of items.

Parameters:

iN	: Number of trials
rfProb	: Probability of success
rlstData	: List of distribution

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

• BinomialDistribution.h
• BinomialDistribution.cpp