IDiscretePDF

All Superinterfaces:: IProbabilityDensityFunction, IProbabilityFunction

All Known Subinterfaces:: IBinomialDistribution, IPoissonDistribution, IUniformIntDistribution

All Known Implementing Classes:: AbstractDiscretePDF, BinomialDistribution, PoissonDistribution, UniformIntDistribution

public interface IDiscretePDF extends IProbabilityDensityFunction

Method Summary

Modifier and Type

Method

Description

double

cdf(int x)

Returns the distribution function F(x)

double

getMean()

double

getStandardDeviation()

double

getVariance()

double

getXinf()

Returns xb such that the probability density is 0 everywhere outside the interval [xa, xb],

double

getXsup()

Returns xa such that the probability density is 0 everywhere outside the interval [xa, xb]

int

inverseF(double u)

Computes and returns the inverse distribution function x = F^{-1}(u).

double

probability(int x)

Returns f(x), the probability evaluated at x

Methods inherited from interface de.uka.ipd.sdq.probfunction.math.IProbabilityDensityFunction
add, div, drawSample, getCumulativeFunction, getFourierTransform, getInverseFourierTransform, getLowerDomainBorder, greaterThan, lessThan, mult, probabilisticEquals, scale, shiftDomain, stretchDomain, sub

Methods inherited from interface de.uka.ipd.sdq.probfunction.math.IProbabilityFunction
checkConstrains, getArithmeticMeanValue, getMedian, getPercentile, getProbabilitySum, getUnit, hasOrderedDomain, isInFrequencyDomain, isInTimeDomain

Method Details
- getVariance
  
  double getVariance()
- getStandardDeviation
  
  double getStandardDeviation()
- getMean
  
  double getMean()
- cdf
  
  double cdf(int x)
  
  Returns the distribution function F(x)
  
  Parameters:
  
  x -
  
  Returns:
  
  F(x)
- probability
  
  double probability(int x)
  
  Returns f(x), the probability evaluated at x
  
  Parameters:
  
  x -
  
  Returns:
  
  f(x)
- getXsup
  
  double getXsup()
  
  Returns xa such that the probability density is 0 everywhere outside the interval [xa, xb]
  
  Returns:
  
  upper limit of support
- getXinf
  
  double getXinf()
  
  Returns xb such that the probability density is 0 everywhere outside the interval [xa, xb],
  
  Returns:
  
  lower limit of support
- inverseF
  
  int inverseF(double u)
  
  Computes and returns the inverse distribution function x = F^{-1}(u). This can be used to get the quantiles of the distribution. Pass 0.9 to get the x value of this function for which this.cdf(x) = 0.9 holds.
  
  Parameters:
  
  u - - value in the interval [0, 1] for which the inverse distribution function is evaluated
  
  Returns:
  
  the inverse distribution function evaluated at u