Package | Description |
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org.hipparchus.stat.interval |
Utilities to calculate binomial proportion confidence intervals.
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Modifier and Type | Method and Description |
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static ConfidenceInterval |
BinomialProportion.getAgrestiCoullInterval(int numberOfTrials,
double probabilityOfSuccess,
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, probability of success and
confidence level.
|
static ConfidenceInterval |
BinomialProportion.getClopperPearsonInterval(int numberOfTrials,
double probabilityOfSuccess,
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, probability of success and
confidence level.
|
static ConfidenceInterval |
BinomialProportion.getNormalApproximationInterval(int numberOfTrials,
double probabilityOfSuccess,
double confidenceLevel)
Create a binomial confidence interval using normal approximation
for the true probability of success of an unknown binomial distribution
with the given observed number of trials, probability of success and
confidence level.
|
static ConfidenceInterval |
BinomialProportion.getWilsonScoreInterval(int numberOfTrials,
double probabilityOfSuccess,
double confidenceLevel)
Create an Wilson score binomial confidence interval for the true
probability of success of an unknown binomial distribution with
the given observed number of trials, probability of success and
confidence level.
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