tags for additional javadoc added after inheritDoc
This is an automated email from the ASF dual-hosted git repository.
aherbert pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/commons-statistics.git
commit 1927c9138ffe0312706a2c558294b741eb148ed2
Author: Alex Herbert <ah...@apache.org>
AuthorDate: Mon Aug 2 23:27:59 2021 +0100
Add <p> tags for additional javadoc added after inheritDoc
---
.../distribution/AbstractContinuousDistribution.java | 7 +++++--
.../distribution/AbstractDiscreteDistribution.java | 2 +-
.../statistics/distribution/BetaDistribution.java | 12 ++++++------
.../statistics/distribution/BinomialDistribution.java | 10 +++++-----
.../statistics/distribution/CauchyDistribution.java | 12 ++++++------
.../statistics/distribution/ChiSquaredDistribution.java | 8 ++++----
.../statistics/distribution/ExponentialDistribution.java | 12 ++++++------
.../commons/statistics/distribution/FDistribution.java | 12 ++++++------
.../statistics/distribution/GammaDistribution.java | 12 ++++++------
.../statistics/distribution/GeometricDistribution.java | 10 +++++-----
.../distribution/HypergeometricDistribution.java | 10 +++++-----
.../statistics/distribution/LevyDistribution.java | 2 +-
.../statistics/distribution/LogNormalDistribution.java | 16 ++++++++--------
.../statistics/distribution/NormalDistribution.java | 10 +++++-----
.../statistics/distribution/ParetoDistribution.java | 4 ++--
.../statistics/distribution/PascalDistribution.java | 10 +++++-----
.../statistics/distribution/PoissonDistribution.java | 8 ++++----
.../commons/statistics/distribution/TDistribution.java | 10 +++++-----
.../statistics/distribution/TriangularDistribution.java | 14 +++++++-------
.../distribution/TruncatedNormalDistribution.java | 4 ++--
.../distribution/UniformContinuousDistribution.java | 10 +++++-----
.../distribution/UniformDiscreteDistribution.java | 10 +++++-----
.../statistics/distribution/WeibullDistribution.java | 12 ++++++------
.../statistics/distribution/ZipfDistribution.java | 10 +++++-----
24 files changed, 115 insertions(+), 112 deletions(-)
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/AbstractContinuousDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/AbstractContinuousDistribution.java
index ee8fb3d..8157592 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/AbstractContinuousDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/AbstractContinuousDistribution.java
@@ -46,10 +46,13 @@ abstract class AbstractContinuousDistribution
/**
* {@inheritDoc}
*
- * The default implementation returns
+ * <p>The default implementation returns:
* <ul>
* <li>{@link #getSupportLowerBound()} for {@code p = 0},</li>
- * <li>{@link #getSupportUpperBound()} for {@code p = 1}.</li>
+ * <li>{@link #getSupportUpperBound()} for {@code p = 1}, or</li>
+ * <li>the result of a search for a root between the lower and upper bound using
+ * {@link #cumulativeProbability(double) cdf(x) - p}. The bounds may be bracketed for
+ * efficiency.</li>
* </ul>
*/
@Override
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/AbstractDiscreteDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/AbstractDiscreteDistribution.java
index ff76dc7..7408263 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/AbstractDiscreteDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/AbstractDiscreteDistribution.java
@@ -30,7 +30,7 @@ abstract class AbstractDiscreteDistribution
/**
* {@inheritDoc}
*
- * The default implementation returns
+ * <p>The default implementation returns:
* <ul>
* <li>{@link #getSupportLowerBound()} for {@code p = 0},</li>
* <li>{@link #getSupportUpperBound()} for {@code p = 1}, or</li>
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/BetaDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/BetaDistribution.java
index e9bc71b..ac3cecc 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/BetaDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/BetaDistribution.java
@@ -121,7 +121,7 @@ public class BetaDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * For first shape parameter {@code alpha} and second shape parameter
+ * <p>For first shape parameter {@code alpha} and second shape parameter
* {@code beta}, the mean is {@code alpha / (alpha + beta)}.
*/
@Override
@@ -133,7 +133,7 @@ public class BetaDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * For first shape parameter {@code alpha} and second shape parameter
+ * <p>For first shape parameter {@code alpha} and second shape parameter
* {@code beta}, the variance is
* {@code (alpha * beta) / [(alpha + beta)^2 * (alpha + beta + 1)]}.
*/
@@ -148,7 +148,7 @@ public class BetaDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The lower bound of the support is always 0 no matter the parameters.
+ * <p>The lower bound of the support is always 0 no matter the parameters.
*
* @return lower bound of the support (always 0)
*/
@@ -160,7 +160,7 @@ public class BetaDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The upper bound of the support is always 1 no matter the parameters.
+ * <p>The upper bound of the support is always 1 no matter the parameters.
*
* @return upper bound of the support (always 1)
*/
@@ -172,7 +172,7 @@ public class BetaDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The support of this distribution is connected.
+ * <p>The support of this distribution is connected.
*
* @return {@code true}
*/
@@ -184,7 +184,7 @@ public class BetaDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * Sampling is performed using Cheng's algorithm:
+ * <p>Sampling is performed using Cheng's algorithm:
* <blockquote>
* <pre>
* R. C. H. Cheng,
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/BinomialDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/BinomialDistribution.java
index 4da813b..fb78bab 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/BinomialDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/BinomialDistribution.java
@@ -115,7 +115,7 @@ public class BinomialDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * For {@code n} trials and probability parameter {@code p}, the mean is
+ * <p>For {@code n} trials and probability parameter {@code p}, the mean is
* {@code n * p}.
*/
@Override
@@ -126,7 +126,7 @@ public class BinomialDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * For {@code n} trials and probability parameter {@code p}, the variance is
+ * <p>For {@code n} trials and probability parameter {@code p}, the variance is
* {@code n * p * (1 - p)}.
*/
@Override
@@ -138,7 +138,7 @@ public class BinomialDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * The lower bound of the support is always 0 except for the probability
+ * <p>The lower bound of the support is always 0 except for the probability
* parameter {@code p = 1}.
*
* @return lower bound of the support (0 or the number of trials)
@@ -151,7 +151,7 @@ public class BinomialDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * The upper bound of the support is the number of trials except for the
+ * <p>The upper bound of the support is the number of trials except for the
* probability parameter {@code p = 0}.
*
* @return upper bound of the support (number of trials or 0)
@@ -164,7 +164,7 @@ public class BinomialDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * The support of this distribution is connected.
+ * <p>The support of this distribution is connected.
*
* @return {@code true}
*/
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/CauchyDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/CauchyDistribution.java
index 1c7de30..9dd0d27 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/CauchyDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/CauchyDistribution.java
@@ -96,7 +96,7 @@ public class CauchyDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * Returns {@code Double.NEGATIVE_INFINITY} when {@code p == 0}
+ * <p>Returns {@code Double.NEGATIVE_INFINITY} when {@code p == 0}
* and {@code Double.POSITIVE_INFINITY} when {@code p == 1}.
*/
@Override
@@ -115,7 +115,7 @@ public class CauchyDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The mean is always undefined no matter the parameters.
+ * <p>The mean is always undefined no matter the parameters.
*
* @return mean (always Double.NaN)
*/
@@ -127,7 +127,7 @@ public class CauchyDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The variance is always undefined no matter the parameters.
+ * <p>The variance is always undefined no matter the parameters.
*
* @return variance (always Double.NaN)
*/
@@ -139,7 +139,7 @@ public class CauchyDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The lower bound of the support is always negative infinity no matter
+ * <p>The lower bound of the support is always negative infinity no matter
* the parameters.
*
* @return lower bound of the support (always Double.NEGATIVE_INFINITY)
@@ -152,7 +152,7 @@ public class CauchyDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The upper bound of the support is always positive infinity no matter
+ * <p>The upper bound of the support is always positive infinity no matter
* the parameters.
*
* @return upper bound of the support (always Double.POSITIVE_INFINITY)
@@ -165,7 +165,7 @@ public class CauchyDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The support of this distribution is connected.
+ * <p>The support of this distribution is connected.
*
* @return {@code true}
*/
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/ChiSquaredDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/ChiSquaredDistribution.java
index c10adf5..15796de 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/ChiSquaredDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/ChiSquaredDistribution.java
@@ -70,7 +70,7 @@ public class ChiSquaredDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * For {@code k} degrees of freedom, the mean is {@code k}.
+ * <p>For {@code k} degrees of freedom, the mean is {@code k}.
*/
@Override
public double getMean() {
@@ -90,7 +90,7 @@ public class ChiSquaredDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The lower bound of the support is always 0 no matter the
+ * <p>The lower bound of the support is always 0 no matter the
* degrees of freedom.
*
* @return zero.
@@ -103,7 +103,7 @@ public class ChiSquaredDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The upper bound of the support is always positive infinity no matter the
+ * <p>The upper bound of the support is always positive infinity no matter the
* degrees of freedom.
*
* @return {@code Double.POSITIVE_INFINITY}.
@@ -116,7 +116,7 @@ public class ChiSquaredDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The support of this distribution is connected.
+ * <p>The support of this distribution is connected.
*
* @return {@code true}
*/
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/ExponentialDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/ExponentialDistribution.java
index fd1fbcc..75d0192 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/ExponentialDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/ExponentialDistribution.java
@@ -66,7 +66,7 @@ public class ExponentialDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The implementation of this method is based on:
+ * <p>The implementation of this method is based on:
* <ul>
* <li>
* <a href="http://mathworld.wolfram.com/ExponentialDistribution.html">
@@ -95,7 +95,7 @@ public class ExponentialDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * Returns {@code 0} when {@code p= = 0} and
+ * <p>Returns {@code 0} when {@code p= = 0} and
* {@code Double.POSITIVE_INFINITY} when {@code p == 1}.
*/
@Override
@@ -118,7 +118,7 @@ public class ExponentialDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * For mean parameter {@code k}, the variance is {@code k^2}.
+ * <p>For mean parameter {@code k}, the variance is {@code k^2}.
*/
@Override
public double getVariance() {
@@ -128,7 +128,7 @@ public class ExponentialDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The lower bound of the support is always 0 no matter the mean parameter.
+ * <p>The lower bound of the support is always 0 no matter the mean parameter.
*
* @return lower bound of the support (always 0)
*/
@@ -140,7 +140,7 @@ public class ExponentialDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The upper bound of the support is always positive infinity
+ * <p>The upper bound of the support is always positive infinity
* no matter the mean parameter.
*
* @return upper bound of the support (always Double.POSITIVE_INFINITY)
@@ -153,7 +153,7 @@ public class ExponentialDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The support of this distribution is connected.
+ * <p>The support of this distribution is connected.
*
* @return {@code true}
*/
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/FDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/FDistribution.java
index 1610478..9f42076 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/FDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/FDistribution.java
@@ -121,7 +121,7 @@ public class FDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The implementation of this method is based on
+ * <p>The implementation of this method is based on
* <ul>
* <li>
* <a href="http://mathworld.wolfram.com/F-Distribution.html">
@@ -165,7 +165,7 @@ public class FDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * For denominator degrees of freedom parameter {@code b}, the mean is
+ * <p>For denominator degrees of freedom parameter {@code b}, the mean is
* <ul>
* <li>if {@code b > 2} then {@code b / (b - 2)},</li>
* <li>else undefined ({@code Double.NaN}).
@@ -185,7 +185,7 @@ public class FDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * For numerator degrees of freedom parameter {@code a} and denominator
+ * <p>For numerator degrees of freedom parameter {@code a} and denominator
* degrees of freedom parameter {@code b}, the variance is
* <ul>
* <li>
@@ -213,7 +213,7 @@ public class FDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The lower bound of the support is always 0 no matter the parameters.
+ * <p>The lower bound of the support is always 0 no matter the parameters.
*
* @return lower bound of the support (always 0)
*/
@@ -225,7 +225,7 @@ public class FDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The upper bound of the support is always positive infinity
+ * <p>The upper bound of the support is always positive infinity
* no matter the parameters.
*
* @return upper bound of the support (always Double.POSITIVE_INFINITY)
@@ -238,7 +238,7 @@ public class FDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The support of this distribution is connected.
+ * <p>The support of this distribution is connected.
*
* @return {@code true}
*/
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/GammaDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/GammaDistribution.java
index eb6761c..88037fe 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/GammaDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/GammaDistribution.java
@@ -233,7 +233,7 @@ public class GammaDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The implementation of this method is based on:
+ * <p>The implementation of this method is based on:
* <ul>
* <li>
* <a href="http://mathworld.wolfram.com/Chi-SquaredDistribution.html">
@@ -269,7 +269,7 @@ public class GammaDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * For shape parameter {@code alpha} and scale parameter {@code beta}, the
+ * <p>For shape parameter {@code alpha} and scale parameter {@code beta}, the
* mean is {@code alpha * beta}.
*/
@Override
@@ -280,7 +280,7 @@ public class GammaDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * For shape parameter {@code alpha} and scale parameter {@code beta}, the
+ * <p>For shape parameter {@code alpha} and scale parameter {@code beta}, the
* variance is {@code alpha * beta^2}.
*
* @return {@inheritDoc}
@@ -293,7 +293,7 @@ public class GammaDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The lower bound of the support is always 0 no matter the parameters.
+ * <p>The lower bound of the support is always 0 no matter the parameters.
*
* @return lower bound of the support (always 0)
*/
@@ -305,7 +305,7 @@ public class GammaDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The upper bound of the support is always positive infinity
+ * <p>The upper bound of the support is always positive infinity
* no matter the parameters.
*
* @return upper bound of the support (always Double.POSITIVE_INFINITY)
@@ -318,7 +318,7 @@ public class GammaDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The support of this distribution is connected.
+ * <p>The support of this distribution is connected.
*
* @return {@code true}
*/
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/GeometricDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/GeometricDistribution.java
index 2e6dd3c..2fbf9db 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/GeometricDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/GeometricDistribution.java
@@ -109,7 +109,7 @@ public class GeometricDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * For probability parameter {@code p}, the mean is {@code (1 - p) / p}.
+ * <p>For probability parameter {@code p}, the mean is {@code (1 - p) / p}.
*/
@Override
public double getMean() {
@@ -119,7 +119,7 @@ public class GeometricDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * For probability parameter {@code p}, the variance is
+ * <p>For probability parameter {@code p}, the variance is
* {@code (1 - p) / (p * p)}.
*/
@Override
@@ -130,7 +130,7 @@ public class GeometricDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * The lower bound of the support is always 0.
+ * <p>The lower bound of the support is always 0.
*
* @return lower bound of the support (always 0)
*/
@@ -142,7 +142,7 @@ public class GeometricDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * The upper bound of the support is infinite (which we approximate as
+ * <p>The upper bound of the support is infinite (which we approximate as
* {@code Integer.MAX_VALUE}).
*
* @return upper bound of the support (always Integer.MAX_VALUE)
@@ -155,7 +155,7 @@ public class GeometricDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * The support of this distribution is connected.
+ * <p>The support of this distribution is connected.
*
* @return {@code true}
*/
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/HypergeometricDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/HypergeometricDistribution.java
index 5a870ad..bab3c1f 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/HypergeometricDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/HypergeometricDistribution.java
@@ -221,7 +221,7 @@ public class HypergeometricDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * For population size {@code N}, number of successes {@code m}, and sample
+ * <p>For population size {@code N}, number of successes {@code m}, and sample
* size {@code n}, the mean is {@code n * m / N}.
*/
@Override
@@ -232,7 +232,7 @@ public class HypergeometricDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * For population size {@code N}, number of successes {@code m}, and sample
+ * <p>For population size {@code N}, number of successes {@code m}, and sample
* size {@code n}, the variance is
* {@code (n * m * (N - n) * (N - m)) / (N^2 * (N - 1))}.
*/
@@ -247,7 +247,7 @@ public class HypergeometricDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * For population size {@code N}, number of successes {@code m}, and sample
+ * <p>For population size {@code N}, number of successes {@code m}, and sample
* size {@code n}, the lower bound of the support is
* {@code max(0, n + m - N)}.
*
@@ -261,7 +261,7 @@ public class HypergeometricDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * For number of successes {@code m} and sample size {@code n}, the upper
+ * <p>For number of successes {@code m} and sample size {@code n}, the upper
* bound of the support is {@code min(m, n)}.
*
* @return upper bound of the support
@@ -274,7 +274,7 @@ public class HypergeometricDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * The support of this distribution is connected.
+ * <p>The support of this distribution is connected.
*
* @return {@code true}
*/
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/LevyDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/LevyDistribution.java
index e6eae34..50565db 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/LevyDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/LevyDistribution.java
@@ -90,7 +90,7 @@ public class LevyDistribution extends AbstractContinuousDistribution {
/** {@inheritDoc}
*
- * See documentation of {@link #density(double)} for computation details.
+ * <p>See documentation of {@link #density(double)} for computation details.
*/
@Override
public double logDensity(double x) {
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/LogNormalDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/LogNormalDistribution.java
index 5025592..26f5609 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/LogNormalDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/LogNormalDistribution.java
@@ -94,7 +94,7 @@ public class LogNormalDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * For scale {@code m}, and shape {@code s} of this distribution, the PDF
+ * <p>For scale {@code m}, and shape {@code s} of this distribution, the PDF
* is given by
* <ul>
* <li>{@code 0} if {@code x <= 0},</li>
@@ -132,7 +132,7 @@ public class LogNormalDistribution extends AbstractContinuousDistribution {
/** {@inheritDoc}
*
- * See documentation of {@link #density(double)} for computation details.
+ * <p>See documentation of {@link #density(double)} for computation details.
*/
@Override
public double logDensity(double x) {
@@ -148,7 +148,7 @@ public class LogNormalDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * For scale {@code m}, and shape {@code s} of this distribution, the CDF
+ * <p>For scale {@code m}, and shape {@code s} of this distribution, the CDF
* is given by
* <ul>
* <li>{@code 0} if {@code x <= 0},</li>
@@ -188,7 +188,7 @@ public class LogNormalDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * For scale {@code m} and shape {@code s}, the mean is
+ * <p>For scale {@code m} and shape {@code s}, the mean is
* {@code exp(m + s^2 / 2)}.
*/
@Override
@@ -200,7 +200,7 @@ public class LogNormalDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * For scale {@code m} and shape {@code s}, the variance is
+ * <p>For scale {@code m} and shape {@code s}, the variance is
* {@code (exp(s^2) - 1) * exp(2 * m + s^2)}.
*/
@Override
@@ -213,7 +213,7 @@ public class LogNormalDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The lower bound of the support is always 0 no matter the parameters.
+ * <p>The lower bound of the support is always 0 no matter the parameters.
*
* @return lower bound of the support (always 0)
*/
@@ -225,7 +225,7 @@ public class LogNormalDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The upper bound of the support is always positive infinity
+ * <p>The upper bound of the support is always positive infinity
* no matter the parameters.
*
* @return upper bound of the support (always
@@ -239,7 +239,7 @@ public class LogNormalDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The support of this distribution is connected.
+ * <p>The support of this distribution is connected.
*
* @return {@code true}
*/
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/NormalDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/NormalDistribution.java
index d2cee06..aa55e63 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/NormalDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/NormalDistribution.java
@@ -97,7 +97,7 @@ public class NormalDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * If {@code x} is more than 40 standard deviations from the mean, 0 or 1
+ * <p>If {@code x} is more than 40 standard deviations from the mean, 0 or 1
* is returned, as in these cases the actual value is within
* {@code Double.MIN_VALUE} of 0 or 1.
*/
@@ -139,7 +139,7 @@ public class NormalDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * For standard deviation parameter {@code s}, the variance is {@code s^2}.
+ * <p>For standard deviation parameter {@code s}, the variance is {@code s^2}.
*/
@Override
public double getVariance() {
@@ -150,7 +150,7 @@ public class NormalDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The lower bound of the support is always negative infinity
+ * <p>The lower bound of the support is always negative infinity
* no matter the parameters.
*
* @return lower bound of the support (always
@@ -164,7 +164,7 @@ public class NormalDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The upper bound of the support is always positive infinity
+ * <p>The upper bound of the support is always positive infinity
* no matter the parameters.
*
* @return upper bound of the support (always
@@ -178,7 +178,7 @@ public class NormalDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The support of this distribution is connected.
+ * <p>The support of this distribution is connected.
*
* @return {@code true}
*/
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/ParetoDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/ParetoDistribution.java
index 0b52626..9dfc5fe 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/ParetoDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/ParetoDistribution.java
@@ -108,7 +108,7 @@ public class ParetoDistribution extends AbstractContinuousDistribution {
/** {@inheritDoc}
*
- * See documentation of {@link #density(double)} for computation details.
+ * <p>See documentation of {@link #density(double)} for computation details.
*/
@Override
public double logDensity(double x) {
@@ -207,7 +207,7 @@ public class ParetoDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
* <p>
- * The support of this distribution is connected.
+ * <p>The support of this distribution is connected.
*
* @return {@code true}
*/
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/PascalDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/PascalDistribution.java
index 50b19bb..b75e55e 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/PascalDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/PascalDistribution.java
@@ -168,7 +168,7 @@ public class PascalDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * For number of successes {@code r} and probability of success {@code p},
+ * <p>For number of successes {@code r} and probability of success {@code p},
* the mean is {@code r * (1 - p) / p}.
*/
@Override
@@ -181,7 +181,7 @@ public class PascalDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * For number of successes {@code r} and probability of success {@code p},
+ * <p>For number of successes {@code r} and probability of success {@code p},
* the variance is {@code r * (1 - p) / p^2}.
*/
@Override
@@ -194,7 +194,7 @@ public class PascalDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * The lower bound of the support is always 0 no matter the parameters.
+ * <p>The lower bound of the support is always 0 no matter the parameters.
*
* @return lower bound of the support (always 0)
*/
@@ -206,7 +206,7 @@ public class PascalDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * The upper bound of the support is always positive infinity no matter the
+ * <p>The upper bound of the support is always positive infinity no matter the
* parameters. Positive infinity is symbolized by {@code Integer.MAX_VALUE}.
*
* @return upper bound of the support (always {@code Integer.MAX_VALUE}
@@ -220,7 +220,7 @@ public class PascalDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * The support of this distribution is connected.
+ * <p>The support of this distribution is connected.
*
* @return {@code true}
*/
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/PoissonDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/PoissonDistribution.java
index f470486..bfcabed 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/PoissonDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/PoissonDistribution.java
@@ -142,7 +142,7 @@ public class PoissonDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * The variance is equal to the {@link #getMean() mean}.
+ * <p>The variance is equal to the {@link #getMean() mean}.
*/
@Override
public double getVariance() {
@@ -152,7 +152,7 @@ public class PoissonDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * The lower bound of the support is always 0 no matter the mean parameter.
+ * <p>The lower bound of the support is always 0 no matter the mean parameter.
*
* @return lower bound of the support (always 0)
*/
@@ -164,7 +164,7 @@ public class PoissonDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * The upper bound of the support is positive infinity,
+ * <p>The upper bound of the support is positive infinity,
* regardless of the parameter values. There is no integer infinity,
* so this method returns {@code Integer.MAX_VALUE}.
*
@@ -179,7 +179,7 @@ public class PoissonDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * The support of this distribution is connected.
+ * <p>The support of this distribution is connected.
*
* @return {@code true}
*/
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/TDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/TDistribution.java
index 6373f58..25d0bcc 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/TDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/TDistribution.java
@@ -119,7 +119,7 @@ public class TDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * For degrees of freedom parameter {@code df}, the mean is
+ * <p>For degrees of freedom parameter {@code df}, the mean is
* <ul>
* <li>zero if {@code df > 1}, and</li>
* <li>undefined ({@code Double.NaN}) otherwise.</li>
@@ -133,7 +133,7 @@ public class TDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * For degrees of freedom parameter {@code df}, the variance is
+ * <p>For degrees of freedom parameter {@code df}, the variance is
* <ul>
* <li>{@code df / (df - 2)} if {@code df > 2},</li>
* <li>infinite ({@code Double.POSITIVE_INFINITY}) if {@code 1 < df <= 2}, and</li>
@@ -148,7 +148,7 @@ public class TDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The lower bound of the support is always negative infinity..
+ * <p>The lower bound of the support is always negative infinity..
*
* @return lower bound of the support (always
* {@code Double.NEGATIVE_INFINITY})
@@ -161,7 +161,7 @@ public class TDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The upper bound of the support is always positive infinity.
+ * <p>The upper bound of the support is always positive infinity.
*
* @return upper bound of the support (always
* {@code Double.POSITIVE_INFINITY})
@@ -174,7 +174,7 @@ public class TDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The support of this distribution is connected.
+ * <p>The support of this distribution is connected.
*
* @return {@code true}
*/
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/TriangularDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/TriangularDistribution.java
index 4500f01..f833933 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/TriangularDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/TriangularDistribution.java
@@ -82,7 +82,7 @@ public class TriangularDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * For lower limit {@code a}, upper limit {@code b} and mode {@code c}, the
+ * <p>For lower limit {@code a}, upper limit {@code b} and mode {@code c}, the
* PDF is given by
* <ul>
* <li>{@code 2 * (x - a) / [(b - a) * (c - a)]} if {@code a <= x < c},</li>
@@ -113,7 +113,7 @@ public class TriangularDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * For lower limit {@code a}, upper limit {@code b} and mode {@code c}, the
+ * <p>For lower limit {@code a}, upper limit {@code b} and mode {@code c}, the
* CDF is given by
* <ul>
* <li>{@code 0} if {@code x < a},</li>
@@ -164,7 +164,7 @@ public class TriangularDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * For lower limit {@code a}, upper limit {@code b}, and mode {@code c},
+ * <p>For lower limit {@code a}, upper limit {@code b}, and mode {@code c},
* the mean is {@code (a + b + c) / 3}.
*/
@Override
@@ -175,7 +175,7 @@ public class TriangularDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * For lower limit {@code a}, upper limit {@code b}, and mode {@code c},
+ * <p>For lower limit {@code a}, upper limit {@code b}, and mode {@code c},
* the variance is {@code (a^2 + b^2 + c^2 - a * b - a * c - b * c) / 18}.
*/
@Override
@@ -186,7 +186,7 @@ public class TriangularDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The lower bound of the support is equal to the lower limit parameter
+ * <p>The lower bound of the support is equal to the lower limit parameter
* {@code a} of the distribution.
*
* @return lower bound of the support
@@ -199,7 +199,7 @@ public class TriangularDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The upper bound of the support is equal to the upper limit parameter
+ * <p>The upper bound of the support is equal to the upper limit parameter
* {@code b} of the distribution.
*
* @return upper bound of the support
@@ -212,7 +212,7 @@ public class TriangularDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The support of this distribution is connected.
+ * <p>The support of this distribution is connected.
*
* @return {@code true}
*/
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/TruncatedNormalDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/TruncatedNormalDistribution.java
index a38b75f..08de808 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/TruncatedNormalDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/TruncatedNormalDistribution.java
@@ -170,7 +170,7 @@ public class TruncatedNormalDistribution extends AbstractContinuousDistribution
/**
* {@inheritDoc}
*
- * Represents the true mean of the truncated normal distribution rather
+ * <p>Represents the true mean of the truncated normal distribution rather
* than the parent normal distribution mean.
*/
@Override
@@ -181,7 +181,7 @@ public class TruncatedNormalDistribution extends AbstractContinuousDistribution
/**
* {@inheritDoc}
*
- * Represents the true variance of the truncated normal distribution rather
+ * <p>Represents the true variance of the truncated normal distribution rather
* than the parent normal distribution variance.
*/
@Override
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/UniformContinuousDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/UniformContinuousDistribution.java
index 98ff5bc..64c0569 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/UniformContinuousDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/UniformContinuousDistribution.java
@@ -101,7 +101,7 @@ public class UniformContinuousDistribution extends AbstractContinuousDistributio
/**
* {@inheritDoc}
*
- * For lower bound {@code lower} and upper bound {@code upper}, the mean is
+ * <p>For lower bound {@code lower} and upper bound {@code upper}, the mean is
* {@code 0.5 * (lower + upper)}.
*/
@Override
@@ -112,7 +112,7 @@ public class UniformContinuousDistribution extends AbstractContinuousDistributio
/**
* {@inheritDoc}
*
- * For lower bound {@code lower} and upper bound {@code upper}, the
+ * <p>For lower bound {@code lower} and upper bound {@code upper}, the
* variance is {@code (upper - lower)^2 / 12}.
*/
@Override
@@ -123,7 +123,7 @@ public class UniformContinuousDistribution extends AbstractContinuousDistributio
/**
* {@inheritDoc}
*
- * The lower bound of the support is equal to the lower bound parameter
+ * <p>The lower bound of the support is equal to the lower bound parameter
* of the distribution.
*
* @return lower bound of the support
@@ -136,7 +136,7 @@ public class UniformContinuousDistribution extends AbstractContinuousDistributio
/**
* {@inheritDoc}
*
- * The upper bound of the support is equal to the upper bound parameter
+ * <p>The upper bound of the support is equal to the upper bound parameter
* of the distribution.
*
* @return upper bound of the support
@@ -149,7 +149,7 @@ public class UniformContinuousDistribution extends AbstractContinuousDistributio
/**
* {@inheritDoc}
*
- * The support of this distribution is connected.
+ * <p>The support of this distribution is connected.
*
* @return {@code true}
*/
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/UniformDiscreteDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/UniformDiscreteDistribution.java
index eb69885..0ed628c 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/UniformDiscreteDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/UniformDiscreteDistribution.java
@@ -90,7 +90,7 @@ public class UniformDiscreteDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * For lower bound {@code lower} and upper bound {@code upper}, the mean is
+ * <p>For lower bound {@code lower} and upper bound {@code upper}, the mean is
* {@code 0.5 * (lower + upper)}.
*/
@Override
@@ -102,7 +102,7 @@ public class UniformDiscreteDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * For lower bound {@code lower} and upper bound {@code upper}, and
+ * <p>For lower bound {@code lower} and upper bound {@code upper}, and
* {@code n = upper - lower + 1}, the variance is {@code (n^2 - 1) / 12}.
*/
@Override
@@ -113,7 +113,7 @@ public class UniformDiscreteDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * The lower bound of the support is equal to the lower bound parameter
+ * <p>The lower bound of the support is equal to the lower bound parameter
* of the distribution.
*
* @return lower bound of the support
@@ -126,7 +126,7 @@ public class UniformDiscreteDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * The upper bound of the support is equal to the upper bound parameter
+ * <p>The upper bound of the support is equal to the upper bound parameter
* of the distribution.
*
* @return upper bound of the support
@@ -139,7 +139,7 @@ public class UniformDiscreteDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * The support of this distribution is connected.
+ * <p>The support of this distribution is connected.
*
* @return {@code true}
*/
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/WeibullDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/WeibullDistribution.java
index a488c85..9fb61cd 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/WeibullDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/WeibullDistribution.java
@@ -148,7 +148,7 @@ public class WeibullDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * Returns {@code 0} when {@code p == 0} and
+ * <p>Returns {@code 0} when {@code p == 0} and
* {@code Double.POSITIVE_INFINITY} when {@code p == 1}.
*/
@Override
@@ -167,7 +167,7 @@ public class WeibullDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The mean is {@code scale * Gamma(1 + (1 / shape))}, where {@code Gamma()}
+ * <p>The mean is {@code scale * Gamma(1 + (1 / shape))}, where {@code Gamma()}
* is the Gamma-function.
*/
@Override
@@ -181,7 +181,7 @@ public class WeibullDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The variance is {@code scale^2 * Gamma(1 + (2 / shape)) - mean^2}
+ * <p>The variance is {@code scale^2 * Gamma(1 + (2 / shape)) - mean^2}
* where {@code Gamma()} is the Gamma-function.
*/
@Override
@@ -197,7 +197,7 @@ public class WeibullDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The lower bound of the support is always 0 no matter the parameters.
+ * <p>The lower bound of the support is always 0 no matter the parameters.
*
* @return lower bound of the support (always 0)
*/
@@ -209,7 +209,7 @@ public class WeibullDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The upper bound of the support is always positive infinity
+ * <p>The upper bound of the support is always positive infinity
* no matter the parameters.
*
* @return upper bound of the support (always
@@ -223,7 +223,7 @@ public class WeibullDistribution extends AbstractContinuousDistribution {
/**
* {@inheritDoc}
*
- * The support of this distribution is connected.
+ * <p>The support of this distribution is connected.
*
* @return {@code true}
*/
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/ZipfDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/ZipfDistribution.java
index 7b6234a..da5291d 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/ZipfDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/ZipfDistribution.java
@@ -121,7 +121,7 @@ public class ZipfDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * For number of elements {@code N} and exponent {@code s}, the mean is
+ * <p>For number of elements {@code N} and exponent {@code s}, the mean is
* {@code Hs1 / Hs}, where
* <ul>
* <li>{@code Hs1 = generalizedHarmonic(N, s - 1)},</li>
@@ -142,7 +142,7 @@ public class ZipfDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * For number of elements {@code N} and exponent {@code s}, the mean is
+ * <p>For number of elements {@code N} and exponent {@code s}, the mean is
* {@code (Hs2 / Hs) - (Hs1^2 / Hs^2)}, where
* <ul>
* <li>{@code Hs2 = generalizedHarmonic(N, s - 2)},</li>
@@ -182,7 +182,7 @@ public class ZipfDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * The lower bound of the support is always 1 no matter the parameters.
+ * <p>The lower bound of the support is always 1 no matter the parameters.
*
* @return lower bound of the support (always 1)
*/
@@ -194,7 +194,7 @@ public class ZipfDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * The upper bound of the support is the number of elements.
+ * <p>The upper bound of the support is the number of elements.
*
* @return upper bound of the support
*/
@@ -206,7 +206,7 @@ public class ZipfDistribution extends AbstractDiscreteDistribution {
/**
* {@inheritDoc}
*
- * The support of this distribution is connected.
+ * <p>The support of this distribution is connected.
*
* @return {@code true}
*/