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

Packages that use SecondOrderCentralMoment

Package	Description
de.unihalle.informatik.MiToBo.math.distributions.impl
de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts
de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl

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

Classes in de.unihalle.informatik.MiToBo.math.distributions.impl that implement SecondOrderCentralMoment

Modifier and Type	Class and Description
class	ExponentialDistribution Exponential distribution.
class	GaussianDistribution A multivariate Gaussian distribution.
class	GaussMixDistribution A multivariate Gaussian mixture distribution.
class	PoissonDistribution Poisson distribution.

Uses of SecondOrderCentralMoment in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts

Classes in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts that implement SecondOrderCentralMoment

Modifier and Type	Class and Description
class	AbstractMultiObservationDistributionIndep<S extends Copyable<?>,T extends Copyable<?>> Abstract class for multi target observation distributions.

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

Classes in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl that implement SecondOrderCentralMoment

Modifier and Type	Class and Description
class	MultiObsDistributionIndepGaussians<T extends Copyable<?>> A simple multi observation density, which assumes independence of the single observations with multivariate Gaussian noise.
class	MultiObsDistributionIndepGaussMix<T extends Copyable<?>> A simple multi observation density, which assumes independent Gaussian mixtures as the underlying distributions.
class	MultiStateDistributionIndepGaussians<T extends Copyable<?>> A simple multi state density, which assumes independence of the single states with multivariate Gaussian noise.
class	MultiStateLinTransDistributionIndepGaussians<T extends Copyable<?>> A simple multi state-transition density, which assumes independence of the single states and multivariate Gaussian process noise.