Package de.uka.ipd.sdq.probfunction.math

Interface IProbabilityFunction

    • Method Summary

      All Methods Instance Methods Abstract Methods 
      Modifier and Type Method Description
      void checkConstrains()
      checks whether the following constraints are fulfilled : the sum of all probabilities is one.
      double getArithmeticMeanValue()
      For a probability function, whose domain is integer or real the arithmetic mean - the sum of all measurements divided by the number of observations in the data set - is returned.
      Object getMedian()
      A median is a number dividing the higher half of a sample, a population, or a probability distribution from the lower half.
      Object getPercentile​(int p)
      In descriptive statistics, the 'p'th percentile is a scale value for a data series equal to the p/100 quantile.
      double getProbabilitySum()
      Computes the sum of all probabilities specified in the function.
      IUnit getUnit()
      Returns the unit of the probability functions domain.
      boolean hasOrderedDomain()
      If the domain of the probability functions is ordered, true is returned; false otherwise.
      boolean isInFrequencyDomain()
      True, if the probability density function is in the frequency domain (frequency domain graph shows how much of the signal lies within each given frequency band over a range of frequencies).
      boolean isInTimeDomain()
      True, if the probability density function is the time domain (a time domain graph shows how a signal changes over time).

    • Method Detail

      • getMedian

        Object getMedian()
          throws UnorderedDomainException
        A median is a number dividing the higher half of a sample, a population, or a probability distribution from the lower half. The median of a finite list of numbers can be found by arranging all the observations from lowest value to highest value and picking the middle one.
        Returns:
        Object that is the border for the median.
        Throws:
        UnorderedDomainException

      • getPercentile

        Object getPercentile​(int p)
              throws IndexOutOfBoundsException,
                     UnorderedDomainException
        In descriptive statistics, the 'p'th percentile is a scale value for a data series equal to the p/100 quantile. Thus:
        * The 1st percentile cuts off lowest 1% of data
        * The 98th percentile cuts off lowest 98% of data
        * The 25th percentile is the first quartile
        * The 50th percentile is the median.
        One definition is that the pth percentile of n ordered values is obtained by first calculating the rank k = p(n+1)/100, rounded to the nearest integer and then taking the value that corresponds to that rank.
        Parameters:
        p - sets the percentile which shall be computed. p must take values between 0 and 100.
        Returns:
        Object that is the border for the 'p'th percentile.
        Throws:
        IndexOutOfBoundsException
        UnorderedDomainException

      • getProbabilitySum

        double getProbabilitySum()
                  throws FunctionNotInTimeDomainException
        Computes the sum of all probabilities specified in the function. For pdfs this is the area under the graph; for pmfs the sum of all probabilities.
        Returns:
        Sum of all probabilities in the function.
        Throws:
        FunctionNotInTimeDomainException

      • getUnit

        IUnit getUnit()
        Returns the unit of the probability functions domain.
        Returns:
        unit of the probability functions domain.

      • isInTimeDomain

        boolean isInTimeDomain()
        True, if the probability density function is the time domain (a time domain graph shows how a signal changes over time). This means that it is not a result of a Fourier transform.
        Returns:
        True, if in time domain; false otherwise.

      • isInFrequencyDomain

        boolean isInFrequencyDomain()
        True, if the probability density function is in the frequency domain (frequency domain graph shows how much of the signal lies within each given frequency band over a range of frequencies). This means it is the result of a Fourier transformation.
        Returns:
        True, if in frequency domain, false otherwise.

      • hasOrderedDomain

        boolean hasOrderedDomain()
        If the domain of the probability functions is ordered, true is returned; false otherwise.
        Returns:
        True, if the domain is ordered.