| Package | Description |
|---|---|
| org.apache.commons.math3.stat.interval |
Classes providing binomial proportion confidence interval construction.
|
| Modifier and Type | Method and Description |
|---|---|
ConfidenceInterval |
WilsonScoreInterval.createInterval(int numberOfTrials,
int numberOfSuccesses,
double confidenceLevel)
Create a confidence interval for the true probability of success
of an unknown binomial distribution with the given observed number
of trials, successes and confidence level.
|
ConfidenceInterval |
ClopperPearsonInterval.createInterval(int numberOfTrials,
int numberOfSuccesses,
double confidenceLevel)
Create a confidence interval for the true probability of success
of an unknown binomial distribution with the given observed number
of trials, successes and confidence level.
|
ConfidenceInterval |
NormalApproximationInterval.createInterval(int numberOfTrials,
int numberOfSuccesses,
double confidenceLevel)
Create a confidence interval for the true probability of success
of an unknown binomial distribution with the given observed number
of trials, successes and confidence level.
|
ConfidenceInterval |
AgrestiCoullInterval.createInterval(int numberOfTrials,
int numberOfSuccesses,
double confidenceLevel)
Create a confidence interval for the true probability of success
of an unknown binomial distribution with the given observed number
of trials, successes and confidence level.
|
ConfidenceInterval |
BinomialConfidenceInterval.createInterval(int numberOfTrials,
int numberOfSuccesses,
double confidenceLevel)
Create a confidence interval for the true probability of success
of an unknown binomial distribution with the given observed number
of trials, successes and confidence level.
|
static ConfidenceInterval |
IntervalUtils.getAgrestiCoullInterval(int numberOfTrials,
int numberOfSuccesses,
double confidenceLevel)
Create an Agresti-Coull binomial confidence interval for the true
probability of success of an unknown binomial distribution with the given
observed number of trials, successes and confidence level.
|
static ConfidenceInterval |
IntervalUtils.getClopperPearsonInterval(int numberOfTrials,
int numberOfSuccesses,
double confidenceLevel)
Create a Clopper-Pearson binomial confidence interval for the true
probability of success of an unknown binomial distribution with the given
observed number of trials, successes and confidence level.
|
static ConfidenceInterval |
IntervalUtils.getNormalApproximationInterval(int numberOfTrials,
int numberOfSuccesses,
double confidenceLevel)
Create a binomial confidence interval for the true probability of success
of an unknown binomial distribution with the given observed number of
trials, successes and confidence level using the Normal approximation to
the binomial distribution.
|
static ConfidenceInterval |
IntervalUtils.getWilsonScoreInterval(int numberOfTrials,
int numberOfSuccesses,
double confidenceLevel)
Create a Wilson score binomial confidence interval for the true
probability of success of an unknown binomial distribution with the given
observed number of trials, successes and confidence level.
|
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