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A

AGRESTI_COULL - org.apache.commons.statistics.interval.BinomialConfidenceInterval

Implements the Agresti-Coull method for creating a binomial proportion confidence interval.

B

BinomialConfidenceInterval - Enum in org.apache.commons.statistics.interval

Generate confidence intervals for a binomial proportion.

C

CLOPPER_PEARSON - org.apache.commons.statistics.interval.BinomialConfidenceInterval

Implements the Clopper-Pearson method for creating a binomial proportion confidence interval.

F

fromErrorRate(double, double, long, double) - Method in enum org.apache.commons.statistics.interval.NormalConfidenceInterval

Create a confidence interval from an independent sample from an unknown normally distributed population with the given error rate.

fromErrorRate(int, int, double) - Method in enum org.apache.commons.statistics.interval.BinomialConfidenceInterval

Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and error rate.

G

getLowerBound() - Method in interface org.apache.commons.statistics.interval.Interval

Get the lower bound of the interval.

getUpperBound() - Method in interface org.apache.commons.statistics.interval.Interval

Get the upper bound of the interval.

I

Interval - Interface in org.apache.commons.statistics.interval

Interface representing an interval.

J

JEFFREYS - org.apache.commons.statistics.interval.BinomialConfidenceInterval

Implements the Jeffreys method for creating a binomial proportion confidence interval.

M

MEAN - org.apache.commons.statistics.interval.NormalConfidenceInterval

Create a confidence interval for the true mean of an unknown normally distributed population.

N

NORMAL_APPROXIMATION - org.apache.commons.statistics.interval.BinomialConfidenceInterval

Implements the normal approximation method for creating a binomial proportion confidence interval.

NormalConfidenceInterval - Enum in org.apache.commons.statistics.interval

Generate confidence intervals for a normally distributed population.

O

org.apache.commons.statistics.interval - package org.apache.commons.statistics.interval

Classes providing statistical intervals.

V

valueOf(String) - Static method in enum org.apache.commons.statistics.interval.BinomialConfidenceInterval

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.statistics.interval.NormalConfidenceInterval

Returns the enum constant of this type with the specified name.

values() - Static method in enum org.apache.commons.statistics.interval.BinomialConfidenceInterval

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.statistics.interval.NormalConfidenceInterval

Returns an array containing the constants of this enum type, in the order they are declared.

VARIANCE - org.apache.commons.statistics.interval.NormalConfidenceInterval

Create a confidence interval for the true variance of an unknown normally distributed population.

W

WILSON_SCORE - org.apache.commons.statistics.interval.BinomialConfidenceInterval

Implements the Wilson score method for creating a binomial proportion confidence interval.

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