fixed javadoc typos

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@633991 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Luc Maisonobe 2008-03-05 19:29:38 +00:00
parent ffc1d28311
commit 7d28e0f53d
10 changed files with 14 additions and 14 deletions

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@ -142,7 +142,7 @@ public class BinomialDistributionImpl
}
/**
* For this disbution, X, this method returns P(X = x).
* For this distribution, X, this method returns P(X = x).
*
* @param x the value at which the PMF is evaluated.
* @return PMF for this distribution.

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@ -58,7 +58,7 @@ public class CauchyDistributionImpl extends AbstractContinuousDistribution
}
/**
* For this disbution, X, this method returns P(X &lt; <code>x</code>).
* For this distribution, X, this method returns P(X &lt; <code>x</code>).
* @param x the value at which the CDF is evaluated.
* @return CDF evaluted at <code>x</code>.
*/

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@ -72,7 +72,7 @@ public class ChiSquaredDistributionImpl
}
/**
* For this disbution, X, this method returns P(X &lt; x).
* For this distribution, X, this method returns P(X &lt; x).
* @param x the value at which the CDF is evaluated.
* @return CDF for this distribution.
* @throws MathException if the cumulative probability can not be

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@ -26,7 +26,7 @@ import org.apache.commons.math.MathException;
public interface ContinuousDistribution extends Distribution {
/**
* For this disbution, X, this method returns x such that P(X &lt; x) = p.
* For this distribution, X, this method returns x such that P(X &lt; x) = p.
* @param p the cumulative probability.
* @return x.
* @throws MathException if the inverse cumulative probability can not be

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@ -64,7 +64,7 @@ public class ExponentialDistributionImpl extends AbstractContinuousDistribution
}
/**
* For this disbution, X, this method returns P(X &lt; x).
* For this distribution, X, this method returns P(X &lt; x).
*
* The implementation of this method is based on:
* <ul>

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@ -50,7 +50,7 @@ public class GammaDistributionImpl extends AbstractContinuousDistribution
}
/**
* For this disbution, X, this method returns P(X &lt; x).
* For this distribution, X, this method returns P(X &lt; x).
*
* The implementation of this method is based on:
* <ul>

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@ -67,7 +67,7 @@ public class HypergeometricDistributionImpl extends AbstractIntegerDistribution
}
/**
* For this disbution, X, this method returns P(X &le; x).
* For this distribution, X, this method returns P(X &le; x).
* @param x the value at which the PDF is evaluated.
* @return PDF for this distribution.
*/
@ -178,7 +178,7 @@ public class HypergeometricDistributionImpl extends AbstractIntegerDistribution
}
/**
* For this disbution, X, this method returns P(X = x).
* For this distribution, X, this method returns P(X = x).
*
* @param x the value at which the PMF is evaluated.
* @return PMF for this distribution.
@ -201,7 +201,7 @@ public class HypergeometricDistributionImpl extends AbstractIntegerDistribution
}
/**
* For the disbution, X, defined by the given hypergeometric distribution
* For the distribution, X, defined by the given hypergeometric distribution
* parameters, this method returns P(X = x).
*
* @param n the population size.
@ -256,7 +256,7 @@ public class HypergeometricDistributionImpl extends AbstractIntegerDistribution
}
/**
* For this disbution, X, this method returns P(X &ge; x).
* For this distribution, X, this method returns P(X &ge; x).
* @param x the value at which the CDF is evaluated.
* @return upper tail CDF for this distribution.
* @since 1.1
@ -281,7 +281,7 @@ public class HypergeometricDistributionImpl extends AbstractIntegerDistribution
}
/**
* For this disbution, X, this method returns P(x0 &le; X &le; x1). This
* For this distribution, X, this method returns P(x0 &le; X &le; x1). This
* probability is computed by summing the point probabilities for the values
* x0, x0 + 1, x0 + 2, ..., x1, in the order directed by dx.
* @param x0 the inclusive, lower bound

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@ -98,7 +98,7 @@ public class NormalDistributionImpl extends AbstractContinuousDistribution
}
/**
* For this disbution, X, this method returns P(X &lt; <code>x</code>).
* For this distribution, X, this method returns P(X &lt; <code>x</code>).
* @param x the value at which the CDF is evaluated.
* @return CDF evaluted at <code>x</code>.
* @throws MathException if the algorithm fails to converge; unless

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@ -66,7 +66,7 @@ public class TDistributionImpl
}
/**
* For this disbution, X, this method returns P(X &lt; <code>x</code>).
* For this distribution, X, this method returns P(X &lt; <code>x</code>).
* @param x the value at which the CDF is evaluated.
* @return CDF evaluted at <code>x</code>.
* @throws MathException if the cumulative probability can not be

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@ -51,7 +51,7 @@ public class WeibullDistributionImpl extends AbstractContinuousDistribution
}
/**
* For this disbution, X, this method returns P(X &lt; <code>x</code>).
* For this distribution, X, this method returns P(X &lt; <code>x</code>).
* @param x the value at which the CDF is evaluated.
* @return CDF evaluted at <code>x</code>.
*/