fixed javadoc typos
git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@633991 13f79535-47bb-0310-9956-ffa450edef68
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@ -142,7 +142,7 @@ public class BinomialDistributionImpl
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}
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/**
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* For this disbution, X, this method returns P(X = x).
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* For this distribution, X, this method returns P(X = x).
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*
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* @param x the value at which the PMF is evaluated.
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* @return PMF for this distribution.
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@ -58,7 +58,7 @@ public class CauchyDistributionImpl extends AbstractContinuousDistribution
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}
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/**
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* For this disbution, X, this method returns P(X < <code>x</code>).
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* For this distribution, X, this method returns P(X < <code>x</code>).
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* @param x the value at which the CDF is evaluated.
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* @return CDF evaluted at <code>x</code>.
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*/
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@ -72,7 +72,7 @@ public class ChiSquaredDistributionImpl
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}
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/**
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* For this disbution, X, this method returns P(X < x).
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* For this distribution, X, this method returns P(X < x).
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* @param x the value at which the CDF is evaluated.
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* @return CDF for this distribution.
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* @throws MathException if the cumulative probability can not be
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@ -26,7 +26,7 @@ import org.apache.commons.math.MathException;
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public interface ContinuousDistribution extends Distribution {
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/**
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* For this disbution, X, this method returns x such that P(X < x) = p.
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* For this distribution, X, this method returns x such that P(X < x) = p.
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* @param p the cumulative probability.
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* @return x.
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* @throws MathException if the inverse cumulative probability can not be
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@ -64,7 +64,7 @@ public class ExponentialDistributionImpl extends AbstractContinuousDistribution
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}
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/**
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* For this disbution, X, this method returns P(X < x).
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* For this distribution, X, this method returns P(X < x).
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*
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* The implementation of this method is based on:
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* <ul>
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@ -50,7 +50,7 @@ public class GammaDistributionImpl extends AbstractContinuousDistribution
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}
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/**
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* For this disbution, X, this method returns P(X < x).
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* For this distribution, X, this method returns P(X < x).
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*
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* The implementation of this method is based on:
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* <ul>
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@ -67,7 +67,7 @@ public class HypergeometricDistributionImpl extends AbstractIntegerDistribution
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}
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/**
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* For this disbution, X, this method returns P(X ≤ x).
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* For this distribution, X, this method returns P(X ≤ x).
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* @param x the value at which the PDF is evaluated.
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* @return PDF for this distribution.
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*/
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@ -178,7 +178,7 @@ public class HypergeometricDistributionImpl extends AbstractIntegerDistribution
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}
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/**
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* For this disbution, X, this method returns P(X = x).
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* For this distribution, X, this method returns P(X = x).
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*
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* @param x the value at which the PMF is evaluated.
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* @return PMF for this distribution.
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@ -201,7 +201,7 @@ public class HypergeometricDistributionImpl extends AbstractIntegerDistribution
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}
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/**
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* For the disbution, X, defined by the given hypergeometric distribution
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* For the distribution, X, defined by the given hypergeometric distribution
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* parameters, this method returns P(X = x).
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*
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* @param n the population size.
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@ -256,7 +256,7 @@ public class HypergeometricDistributionImpl extends AbstractIntegerDistribution
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}
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/**
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* For this disbution, X, this method returns P(X ≥ x).
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* For this distribution, X, this method returns P(X ≥ x).
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* @param x the value at which the CDF is evaluated.
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* @return upper tail CDF for this distribution.
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* @since 1.1
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@ -281,7 +281,7 @@ public class HypergeometricDistributionImpl extends AbstractIntegerDistribution
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}
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/**
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* For this disbution, X, this method returns P(x0 ≤ X ≤ x1). This
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* For this distribution, X, this method returns P(x0 ≤ X ≤ x1). This
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* probability is computed by summing the point probabilities for the values
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* x0, x0 + 1, x0 + 2, ..., x1, in the order directed by dx.
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* @param x0 the inclusive, lower bound
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@ -98,7 +98,7 @@ public class NormalDistributionImpl extends AbstractContinuousDistribution
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}
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/**
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* For this disbution, X, this method returns P(X < <code>x</code>).
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* For this distribution, X, this method returns P(X < <code>x</code>).
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* @param x the value at which the CDF is evaluated.
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* @return CDF evaluted at <code>x</code>.
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* @throws MathException if the algorithm fails to converge; unless
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@ -66,7 +66,7 @@ public class TDistributionImpl
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}
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/**
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* For this disbution, X, this method returns P(X < <code>x</code>).
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* For this distribution, X, this method returns P(X < <code>x</code>).
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* @param x the value at which the CDF is evaluated.
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* @return CDF evaluted at <code>x</code>.
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* @throws MathException if the cumulative probability can not be
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@ -51,7 +51,7 @@ public class WeibullDistributionImpl extends AbstractContinuousDistribution
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}
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/**
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* For this disbution, X, this method returns P(X < <code>x</code>).
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* For this distribution, X, this method returns P(X < <code>x</code>).
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* @param x the value at which the CDF is evaluated.
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* @return CDF evaluted at <code>x</code>.
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*/
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