Top Description Constructors Methods
org.apache.commons.math3.stat.interval

public Class AgrestiCoullInterval

extends Object
implements BinomialConfidenceInterval
Class Inheritance
All Implemented Interfaces
org.apache.commons.math3.stat.interval.BinomialConfidenceInterval
Imports
org.apache.commons.math3.distribution.NormalDistribution, org.apache.commons.math3.util.FastMath
Implements the Agresti-Coull method for creating a binomial proportion confidence interval.
Since
3.3
See Also
Agresti-Coull interval (Wikipedia)

Constructor Summary

AccessConstructor and Description
public
AgrestiCoullInterval()

Method Summary

Modifier and TypeMethod and Description
public ConfidenceInterval
createInterval(int
number of trials
numberOfTrials, int
number of successes
numberOfSuccesses, double
desired probability that the true probability of success falls within the returned interval
confidenceLevel)

Implements org.apache.commons.math3.stat.interval.BinomialConfidenceInterval.createInterval.

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.

Inherited from java.lang.Object:
cloneequalsfinalizegetClasshashCodenotifynotifyAlltoStringwaitwaitwait

Constructor Detail

AgrestiCoullIntervalback to summary
public AgrestiCoullInterval()

Method Detail

createIntervalback to summary
public ConfidenceInterval createInterval(int numberOfTrials, int numberOfSuccesses, double confidenceLevel)

Implements org.apache.commons.math3.stat.interval.BinomialConfidenceInterval.createInterval.

Doc from org.apache.commons.math3.stat.interval.BinomialConfidenceInterval.createInterval.

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.

Preconditions:

  • numberOfTrials must be positive
  • numberOfSuccesses may not exceed numberOfTrials
  • confidenceLevel must be strictly between 0 and 1 (exclusive)

Parameters
numberOfTrials:int

number of trials

numberOfSuccesses:int

number of successes

confidenceLevel:double

desired probability that the true probability of success falls within the returned interval

Returns:ConfidenceInterval

Confidence interval containing the probability of success with probability confidenceLevel