| java.lang.Object
 org.apache.commons.math.distribution.AbstractDistribution
org.apache.commons.math.distribution.AbstractIntegerDistribution
org.apache.commons.math.distribution.BinomialDistributionImpl
| Constructor Summary | |
| public | BinomialDistributionImpl(int trials, double p)
Create a binomial distribution with the given number of trials and
probability of success. |
| Method Summary | |
| public double | cumulativeProbability(int x)
For this distribution, X, this method returns P(X ≤ x).
Parameters:
x - the value at which the PDF is evaluated. | | protected int | getDomainLowerBound(double p)
Access the domain value lower bound, based on p, used to
bracket a PDF root. | | protected int | getDomainUpperBound(double p)
Access the domain value upper bound, based on p, used to
bracket a PDF root. | | public int | getNumberOfTrials()
Access the number of trials for this distribution. | | public double | getProbabilityOfSuccess()
Access the probability of success for this distribution. | | public int | inverseCumulativeProbability(double p)
For this distribution, X, this method returns the largest x, such
that P(X ≤ x) ≤ p. | | public double | probability(int x)
For this disbution, X, this method returns P(X = x).
Parameters:
x - the value at which the PMF is evaluated. | | public void | setNumberOfTrials(int trials)
Change the number of trials for this distribution. | | public void | setProbabilityOfSuccess(double p)
Change the probability of success for this distribution. |
| BinomialDistributionImpl | | public BinomialDistributionImpl(int trials, double p)(Code) | | Create a binomial distribution with the given number of trials and
probability of success.
Parameters:
trials - the number of trials.
Parameters:
p - the probability of success. |
| cumulativeProbability | | public double cumulativeProbability(int x) throws MathException(Code) | | For this distribution, X, this method returns P(X ≤ x).
Parameters:
x - the value at which the PDF is evaluated. PDF for this distribution.
throws:
MathException - if the cumulative probability can not becomputed due to convergence or other numerical errors. |
| getDomainLowerBound | | protected int getDomainLowerBound(double p)(Code) | | Access the domain value lower bound, based on p, used to
bracket a PDF root.
Parameters:
p - the desired probability for the critical value domain value lower bound, i.e.P(X < lower bound) < p |
| getDomainUpperBound | | protected int getDomainUpperBound(double p)(Code) | | Access the domain value upper bound, based on p, used to
bracket a PDF root.
Parameters:
p - the desired probability for the critical value domain value upper bound, i.e.P(X < upper bound) > p |
| getNumberOfTrials | | public int getNumberOfTrials()(Code) | | Access the number of trials for this distribution.
the number of trials. |
| getProbabilityOfSuccess | | public double getProbabilityOfSuccess()(Code) | | Access the probability of success for this distribution.
the probability of success. |
| inverseCumulativeProbability | | public int inverseCumulativeProbability(double p) throws MathException(Code) | | For this distribution, X, this method returns the largest x, such
that P(X ≤ x) ≤ p.
Returns -1 for p=0 and Integer.MAX_VALUE for
p=1.
Parameters:
p - the desired probability the largest x such that P(X ≤ x) <= p
throws:
MathException - if the inverse cumulative probability can not becomputed due to convergence or other numerical errors.
throws:
IllegalArgumentException - if p < 0 or p > 1 |
| probability | | public double probability(int x)(Code) | | For this disbution, X, this method returns P(X = x).
Parameters:
x - the value at which the PMF is evaluated. PMF for this distribution. |
| setNumberOfTrials | | public void setNumberOfTrials(int trials)(Code) | | Change the number of trials for this distribution.
Parameters:
trials - the new number of trials.
throws:
IllegalArgumentException - if trials is not a validnumber of trials. |
| setProbabilityOfSuccess | | public void setProbabilityOfSuccess(double p)(Code) | | Change the probability of success for this distribution.
Parameters:
p - the new probability of success.
throws:
IllegalArgumentException - if p is not a validprobability. |
| Methods inherited from org.apache.commons.math.distribution.AbstractDistribution | public double cumulativeProbability(double x0, double x1) throws MathException(Code)(Java Doc)
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