IContinousPDF

All Superinterfaces:

IProbabilityDensityFunction, IProbabilityFunction

All Known Subinterfaces:

IChiSquareDistribution, IExponentialDistribution, IGammaDistribution, ILognormalDistribution, INormalDistribution, IStudentTDistribution, IUniformDistribution

All Known Implementing Classes:

AbstractContinousPDF, ChiSquareDistribution, ExponentialDistribution, GammaDistribution, GammaDistributionFromMoments, LognormalDistribution, LognormalDistributionFromMoments, NormalDistribution, StudentTDistribution, UniformDistribution
```
public interface IContinousPDF
extends IProbabilityDensityFunction
```

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`double`	`cdf(double x)`	Returns the distribution function F(x)
`double`	`density(double x)`	Returns f(x), the density evaluated at x
`double`	`getCoefficientOfVariance()`
`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]
`double`	`inverseF(double u)`	Computes and returns the inverse distribution function x = F^{-1}(u).

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 Detail
  - getVariance
```
double getVariance()
```
  - getStandardDeviation
```
double getStandardDeviation()
```
  - getCoefficientOfVariance
```
double getCoefficientOfVariance()
```
  - cdf
```
double cdf(double x)
```
    Returns the distribution function F(x)
    
    Parameters:
    
    x -
    
    Returns:
    
    F(x)
  - density
```
double density(double x)
```
    Returns f(x), the density 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
```
double 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