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Uses of SecondOrderCentralMoment in de.unihalle.informatik.MiToBo.math.distributions.impl |
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Classes in de.unihalle.informatik.MiToBo.math.distributions.impl that implement SecondOrderCentralMoment | |
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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 |
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Classes in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts that implement SecondOrderCentralMoment | |
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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 |
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Classes in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl that implement SecondOrderCentralMoment | |
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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. |
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