MultivariateEmpiricalDistribution Properties |
The MultivariateEmpiricalDistribution type exposes the following members.
Name | Description | |
---|---|---|
Counts |
Gets the repetition counts associated with each sample. Note that
changing values on this array will not result int any effect in
this distribution. The distribution must be computed from scratch
with new values in case new weights needs to be used.
| |
Covariance |
Gets the variance-covariance matrix for this distribution.
(Overrides MultivariateContinuousDistributionCovariance.) | |
Dimension |
Gets the number of variables for this distribution.
(Inherited from MultivariateContinuousDistribution.) | |
Kernel |
Gets the kernel density function used in this distribution.
| |
Length |
Gets the total number of samples in this distribution.
| |
Mean |
Gets the mean for this distribution.
(Overrides MultivariateContinuousDistributionMean.) | |
Median |
Gets the median for this distribution.
(Inherited from MultivariateContinuousDistribution.) | |
Mode |
Gets the mode for this distribution.
(Inherited from MultivariateContinuousDistribution.) | |
Samples |
Gets the samples giving this empirical distribution.
| |
Smoothing |
Gets the bandwidth smoothing parameter
used in the kernel density estimation.
| |
Variance |
Gets the variance for this distribution.
(Overrides MultivariateContinuousDistributionVariance.) | |
Weights |
Gets the fractional weights associated with each sample. Note that
changing values on this array will not result int any effect in
this distribution. The distribution must be computed from scratch
with new values in case new weights needs to be used.
|