repicea.simulation

Class SASParameterEstimates

java.lang.Object

repicea.stats.RandomVariable<D>

repicea.stats.estimates.Estimate<GaussianDistribution>

repicea.stats.estimates.GaussianEstimate

repicea.simulation.ModelParameterEstimates

repicea.simulation.SASParameterEstimates

All Implemented Interfaces:

java.io.Serializable, CentralMomentsGettable, CentralMomentsSettable

public class SASParameterEstimates
extends ModelParameterEstimates

The SASParameterEstimates class is customized for SAS outputs. The major difference is related to how the random deviates are calculated. Since SAS produces false estimates, such as 0 for reference class or 1 for offset, the getRandomDeviate() method makes sure the false estimate are not accounted for during the simulation of the random deviates.

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class repicea.stats.estimates.Estimate

Estimate.EstimatorType

Field Summary

Fields inherited from class repicea.simulation.ModelParameterEstimates

estimatedParameterIndices

Fields inherited from class repicea.stats.estimates.Estimate

estimatorType, rowIndex

Constructor Summary

Constructors

Constructor and Description
SASParameterEstimates(Matrix mean, Matrix variance) Constructor.

Method Summary

Modifier and Type	Method and Description
protected void	setEstimatedParameterIndices()

Methods inherited from class repicea.simulation.ModelParameterEstimates

getRandomDeviate, getTrueParameterIndices

Methods inherited from class repicea.stats.estimates.GaussianEstimate

getConfidenceIntervalBounds, getQuantileForProbability, setMean, setVariance

Methods inherited from class repicea.stats.estimates.Estimate

getDifferenceEstimate, getEstimatorType, getProductEstimate, getProductEstimate, getProductOfManyEstimates, getRowIndex, getSumEstimate, isMergeableEstimate, setRowIndex

Methods inherited from class repicea.stats.RandomVariable

getDistribution, getMean, getVariance

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

SASParameterEstimates

public SASParameterEstimates(Matrix mean,
                             Matrix variance)

Constructor.

Parameters:

mean - a vector that corresponds to the mean value

variance - a symmetric positive definite matrix

Method Detail

setEstimatedParameterIndices

protected void setEstimatedParameterIndices()

Overrides:

setEstimatedParameterIndices in class ModelParameterEstimates