Uses of Interface
de.unihalle.informatik.MiToBo.math.distributions.interfaces.LogProbabilityMassFunction

Packages that use LogProbabilityMassFunction
de.unihalle.informatik.MiToBo.math.distributions.impl   
de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl   
 

Uses of LogProbabilityMassFunction in de.unihalle.informatik.MiToBo.math.distributions.impl
 

Classes in de.unihalle.informatik.MiToBo.math.distributions.impl that implement LogProbabilityMassFunction
 class GenericDiscreteDistribution
          A generic discrete distribution
 class PoissonDistribution
          Poisson distribution.
 

Uses of LogProbabilityMassFunction in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl
 

Fields in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl declared as LogProbabilityMassFunction
protected  LogProbabilityMassFunction AssociationDistribution.mu
          Distribution of the number of clutter observations
protected  LogProbabilityMassFunction AssociationDistribution.nu
          Distribution of the number of observations from newborn targets
 

Constructors in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl with parameters of type LogProbabilityMassFunction
AssociationDistribution(Random rand, AbstractMultiState<S> Z, AbstractMultiObservationDistributionIndep<S,T> observationDistrib, LogProbabilityDensityFunction spatialClutterDistrib, LogProbabilityDensityFunction spatialNewbornDistrib, LogProbabilityMassFunction mu, LogProbabilityMassFunction nu, double P_D)
          Constructor.
AssociationDistribution(Random rand, AbstractMultiState<S> Z, AbstractMultiObservationDistributionIndep<S,T> observationDistrib, LogProbabilityDensityFunction spatialClutterDistrib, LogProbabilityDensityFunction spatialNewbornDistrib, LogProbabilityMassFunction mu, LogProbabilityMassFunction nu, double P_D, int M_max)
          Constructor where the maximum number of observations in the time series is specified to avoid some re-computations.
AssociationDistributionNN(Random rand, AbstractMultiState<S> Z, AbstractMultiObservationDistributionIndep<S,T> observationDistrib, LogProbabilityDensityFunction spatialClutterDistrib, LogProbabilityDensityFunction spatialNewbornDistrib, LogProbabilityMassFunction mu, LogProbabilityMassFunction nu, double P_D, int maxNumNeighbors, double maxDistNeighbors)
          Constructor.
AssociationDistributionNN(Random rand, AbstractMultiState<S> Z, AbstractMultiObservationDistributionIndep<S,T> observationDistrib, LogProbabilityDensityFunction spatialClutterDistrib, LogProbabilityDensityFunction spatialNewbornDistrib, LogProbabilityMassFunction mu, LogProbabilityMassFunction nu, double P_D, int M_max, int maxNumNeighbors, double maxDistNeighbors)
          Constructor where the maximum number of observations in the time series is specified to avoid some re-computations.
 



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