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SSJ
3.3.1
Stochastic Simulation in Java
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ANOVA variance estimator. More...
Public Member Functions | |
| MonteCarloModelDouble | getModel () |
| double | getApproximateMean () |
| void | setModel (MonteCarloModelDoubleRQMC model, double approxMean) |
| Integrator | getIntegrator () |
| void | setIntegrator (RandomIntegrator integrator) |
| Sets the integrator. More... | |
| List< CoordinateSet > | getCoordinateSets () |
| Returns the list of coordinate sets under consideration. | |
| void | setCoordinates (List< CoordinateSet > coordSets) |
Set the coordinate sets to consider to coordSets. | |
| void | setCoordinates (CoordinateSet coords) |
Set the coordinate sets to consider to all non-empty subsets of coords. | |
| void | setCoordinates (CoordinateSet coords, int maxOrder) |
Set the coordinate sets to consider to all non-empty subsets of coords, up to cardinality maxOrder. | |
| void | simulate (RandomStream stream) |
| Simulates the model once. More... | |
| double [] | getPerformance () |
| Recovers and returns the realization of the performance measure, of type E. | |
| int | getDimension () |
Returns the number of dimensions for the input. | |
| String | toString () |
| Returns a description of the partial variance estimator. | |
Protected Attributes | |
| PartialVarianceEstimator | varEstimator |
| RandomIntegrator | integrator |
Package Attributes | |
| double [] | vars = null |
ANOVA variance estimator.
Estimates the partial variances of multiple coordinate sets using the PartialVarianceEstimator class.
| void setIntegrator | ( | RandomIntegrator | integrator | ) |
Sets the integrator.
The integrator must provide twice the dimension of the model.
| void simulate | ( | RandomStream | stream | ) |
Simulates the model once.
Returns vars such that:
vars.length is coordSets.size() + 2. vars[nSets] contains the correction to the approximate mean. vars[nSets+1] contains the total variance. Implements MonteCarloModel< E >.
1.8.14