Uses of Class
com.google.privacy.differentialprivacy.ConfidenceInterval

Uses of ConfidenceInterval in com.google.privacy.differentialprivacy

Methods in com.google.privacy.differentialprivacy that return ConfidenceInterval

Modifier and Type	Method	Description
ConfidenceInterval	BoundedMean.computeConfidenceInterval(double alpha)	Computes a confidence interval that contains the true mean with a probability greater or equal to 1 - alpha.
ConfidenceInterval	BoundedSum.computeConfidenceInterval(double alpha)	Computes a confidence interval that contains the true BoundedSum with a probability greater or equal to 1 - alpha using the noised BoundedSum computed by computeResult().
ConfidenceInterval	Count.computeConfidenceInterval(double alpha)	Computes a ConfidenceInterval with integer bounds that contains the true Count with a probability greater or equal to 1 - alpha using the noised Count computed by computeResult().
ConfidenceInterval	GaussianNoise.computeConfidenceInterval(double noisedX, int l0Sensitivity, double lInfSensitivity, double epsilon, java.lang.Double delta, double alpha)	Computes a confidence interval that contains the raw value x passed to GaussianNoise.addNoise(double, int, double, double, Double) with a probability equal to 1 - alpha based on the specified noisedX and noise parameters.
ConfidenceInterval	GaussianNoise.computeConfidenceInterval(long noisedX, int l0Sensitivity, long lInfSensitivity, double epsilon, java.lang.Double delta, double alpha)	Computes a confidence interval that contains the raw integer value x passed to GaussianNoise.addNoise(long, int, long, double, Double) with a probability greater or equal to 1 - alpha based on the specified noisedX and noise parameters.
ConfidenceInterval	LaplaceNoise.computeConfidenceInterval(double noisedX, int l0Sensitivity, double lInfSensitivity, double epsilon, java.lang.Double delta, double alpha)	Computes a confidence interval that contains the raw value x passed to LaplaceNoise.addNoise(double, int, double, double, Double) with a probability equal to 1 - alpha based on the specified noisedX and noise parameters.
ConfidenceInterval	LaplaceNoise.computeConfidenceInterval(long noisedX, int l0Sensitivity, long lInfSensitivity, double epsilon, java.lang.Double delta, double alpha)	Computes a confidence interval that contains the raw integer value x passed to LaplaceNoise.addNoise(long, int, long, double, Double) with a probability greater or equal to 1 - alpha based on the specified noisedX and noise parameters.
ConfidenceInterval	Noise.computeConfidenceInterval(double noisedX, int l0Sensitivity, double lInfSensitivity, double epsilon, java.lang.Double delta, double alpha)
ConfidenceInterval	Noise.computeConfidenceInterval(long noisedX, int l0Sensitivity, long lInfSensitivity, double epsilon, java.lang.Double delta, double alpha)
static ConfidenceInterval	ConfidenceInterval.create(double lowerBound, double upperBound)