public class TruncatedGaussianEstimate extends Estimate<TruncatedGaussianDistribution> implements BoundedDistribution
Estimate.EstimatorTypeestimatorType, rowIndex| Constructor and Description |
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TruncatedGaussianEstimate()
Basic constructor with mu set to 0 and sigma2 set to 1.
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TruncatedGaussianEstimate(Matrix mu,
Matrix sigma2)
Constructor 2 with user specified mu and sigma2.
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| Modifier and Type | Method and Description |
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ConfidenceInterval |
getConfidenceIntervalBounds(double oneMinusAlpha)
This method returns the probability of getting a lower valueand upper bound of a confidence intervals at probability
level 1 - alpha
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void |
setLowerBoundValue(Matrix lowerBoundValue)
This method sets the lower bound.
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void |
setUpperBoundValue(Matrix upperBoundValue)
This method sets the lower bound.
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getDifferenceEstimate, getEstimatorType, getProductEstimate, getProductEstimate, getProductOfManyEstimates, getRandomDeviate, getRowIndex, getSumEstimate, isMergeableEstimate, setRowIndexgetDistribution, getMean, getVariancepublic TruncatedGaussianEstimate()
public void setLowerBoundValue(Matrix lowerBoundValue)
BoundedDistributionsetLowerBoundValue in interface BoundedDistributionlowerBoundValue - a Matrix instancepublic void setUpperBoundValue(Matrix upperBoundValue)
BoundedDistributionsetUpperBoundValue in interface BoundedDistributionupperBoundValue - a Matrix instancepublic ConfidenceInterval getConfidenceIntervalBounds(double oneMinusAlpha)
EstimategetConfidenceIntervalBounds in class Estimate<TruncatedGaussianDistribution>oneMinusAlpha - is 1 minus the probability of Type I error