This class keeps track of a univariate distribution by storing its quantiles in a matrix.
More...
|
Matrix< double > | Quantiles [get, set] |
| This matrix defines quantiles, with InvCDF(first column) = second column More...
|
|
StepFunction | CDF [get] |
| The CDF is automatically computed when quantiles are set. More...
|
|
This class keeps track of a univariate distribution by storing its quantiles in a matrix.
◆ FillGaussianQuantiles()
void CronoSeries.TimeSeries.Models.DistributionApproximation.FillGaussianQuantiles |
( |
double |
spacing, |
|
|
double |
StdDev, |
|
|
double |
Mean |
|
) |
| |
|
inline |
The following function fills in the quantiles, using the Mean and Variance, assuming that the distribution is Gaussian.
- Parameters
-
◆ MixWith()
Creates a new distribution summary which corresponds to a mixture distribution: with probability p1 we get the original (this) with probability (1-p1) we get the other distribution
- Parameters
-
other | other distribution |
p1 | weight assigned to this distribution |
- Returns
◆ CDF
StepFunction CronoSeries.TimeSeries.Models.DistributionApproximation.CDF |
|
get |
The CDF is automatically computed when quantiles are set.
◆ Quantiles
Matrix<double> CronoSeries.TimeSeries.Models.DistributionApproximation.Quantiles |
|
getset |
This matrix defines quantiles, with InvCDF(first column) = second column
The documentation for this class was generated from the following file:
- TimeSeries/Models/DistributionApproximation.cs