Constructor Detail

• Distribution

  Distribution(String name, int numParam, Pair<Double, Double> support)

  Creates a new distribution with the specified characteristics.

  Parameters:

  name - the name of this distribution type

  numParam - the number of parameters required

  support - the support range [min, max] for this distribution

Method Detail

• evalCDF

   abstract double evalCDF(double t)

  Evaluates the cumulative distribution function (CDF) at the given point.

  Parameters:

  t - the point at which to evaluate the CDF

  Returns:

  the CDF value at point t

• evalProbInterval

   double evalProbInterval(double t0, double t1)

  Evaluates the probability of the distribution falling within the given interval. Computes P(t0 <= X <= t1) = F(t1) - F(t0).

  Parameters:

  t0 - the lower bound of the interval

  t1 - the upper bound of the interval

  Returns:

  the probability of falling within [t0, t1]

• getMean

   abstract double getMean()

  Gets the mean (expected value) of this distribution.

  Returns:

  the mean value

• getName

   String getName()

  Gets the name of this distribution type.

  Returns:

  the distribution name

• getNumParams

   int getNumParams(int id)

  Gets the number of parameters for this distribution.

  Parameters:

  id - parameter identifier (currently unused)

  Returns:

  the number of parameters

• getParam

   NamedParam getParam(int id)

  Gets a parameter by its ID.

  Parameters:

  id - the parameter ID (1-based index)

  Returns:

  the named parameter at the specified position

• getRate

   double getRate()

  Gets the rate of this distribution (inverse of mean).

  Returns:

  the rate value (1/mean)

• getSCV

   abstract double getSCV()

  Gets the squared coefficient of variation (SCV) of this distribution. SCV = Var(X) / E[X]^2.

  Returns:

  the squared coefficient of variation

• getSkewness

   abstract double getSkewness()

  Gets the skewness of this distribution. Skewness measures the asymmetry of the probability distribution.

  Returns:

  the skewness value

• getSupport

   Pair<Double, Double> getSupport()

  Gets the support range of this distribution.

  Returns:

  a pair containing [min, max] values where the distribution is defined

• getVar

   double getVar()

  Gets the variance of this distribution. Computed as SCV * mean^2.

  Returns:

  the variance

• isContinuous

   boolean isContinuous()

  Checks if this is a continuous distribution.

  Returns:

  true if this is a continuous distribution, false otherwise

• isDisabled

   boolean isDisabled()

  Checks if this is a disabled distribution.

  Returns:

  true if this is a disabled distribution, false otherwise

• isDiscrete

   boolean isDiscrete()

  Checks if this is a discrete distribution.

  Returns:

  true if this is a discrete distribution, false otherwise

• isImmediate

   boolean isImmediate()

  Checks if this distribution has immediate (zero) service time.

  Returns:

  true if the distribution is immediate or has mean <Zero threshold

• sample

   Array<double> sample(int n)

  Generates random samples from this distribution using default random generator.

  Parameters:

  n - the number of samples to generate

  Returns:

  array of random samples

• sample

   abstract Array<double> sample(int n, Random random)

  Generates random samples from this distribution using the specified random generator.

  Parameters:

  n - the number of samples to generate

  random - the random number generator to use

  Returns:

  array of random samples

• setNumParams

   void setNumParams(int num)

  Sets the number of parameters for this distribution.

  Parameters:

  num - the number of parameters

• setParam

   void setParam(int id, String name, Object value)

  Sets a parameter value for this distribution.

  Parameters:

  id - the parameter ID (1-based index)

  name - the parameter name

  value - the parameter value

• evalLST

   abstract double evalLST(double s)

  Evaluate the Laplace-Stieltjes Transform at s

  Parameters:

  s - the Laplace domain variable

  Returns:

  the LST value at s

• isMarkovian

   boolean isMarkovian()

  Check if this distribution is Markovian (has a matrix process representation)

  Returns:

  true if this is a Markovian distribution, false otherwise

• name

   String name()

  Kotlin-style property alias for getName()

• mean

   double mean()

  Kotlin-style property alias for getMean()

• rate

   double rate()

  Kotlin-style property alias for getRate()

• scv

   double scv()

  Kotlin-style property alias for getSCV()

• skewness

   double skewness()

  Kotlin-style property alias for getSkewness()

• var

   double var()

  Kotlin-style property alias for getVar()

• support

   Pair<Double, Double> support()

  Kotlin-style property alias for getSupport()

• numParams

   int numParams(int id)

  Kotlin-style property alias for getNumParams(int id)

• param

   NamedParam param(int id)

  Kotlin-style property alias for getParam(int id)