Fix javadoc typos

motinis · Jul 22, 2020 · d4a64cd · d4a64cd
1 parent 073ad90
commit d4a64cd
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Showing 3 changed files with 3 additions and 3 deletions.
diff --git a/src/main/java/gr/james/sampling/ChaoSampling.java b/src/main/java/gr/james/sampling/ChaoSampling.java
@@ -6,7 +6,7 @@
  * Implementation of the algorithm by Chao in <b>A general purpose unequal probability sampling plan</b>.
  * <p>
  * According to this algorithm, the probability of an item to be in the final sample is proportional to its relative
- * weight. Weights are the range (0,+Inf), otherwise an {@link IllegalWeightException} is thrown.
+ * weight. Weights must be in the range (0,+Inf), otherwise an {@link IllegalWeightException} is thrown.
  * <p>
  * This implementation throws {@link StreamOverflowException} if the sum of the weights of the items feeded is
  * {@link Double#POSITIVE_INFINITY}.

diff --git a/src/main/java/gr/james/sampling/EfraimidisSampling.java b/src/main/java/gr/james/sampling/EfraimidisSampling.java
@@ -6,7 +6,7 @@
  * Implementation of the algorithm by Efraimidis and Spirakis in <b>Weighted random sampling with a reservoir</b>.
  * <p>
  * According to this algorithm, the relative weight determines the probability that the item is selected in each of the
- * explicit or implicit item selections of the sampling procedure. Weights are the range (0,+Inf), otherwise an
+ * explicit or implicit item selections of the sampling procedure. Weights must be in the range (0,+Inf), otherwise an
  * {@link IllegalWeightException} is thrown.
  * <p>
  * This implementation never throws {@link StreamOverflowException}.

diff --git a/src/main/java/gr/james/sampling/SequentialPoissonSampling.java b/src/main/java/gr/james/sampling/SequentialPoissonSampling.java
@@ -6,7 +6,7 @@
  * Implementation of the algorithm by Ohlsson in <b>Sequential Poisson Sampling</b>.
  * <p>
  * Weighted are not being assigned a particular meaning or have physical interpretation but the resulting inclusion
- * probabilities are an approximation of the exact model ({@link ChaoSampling}). Weights are the range (0,+Inf),
+ * probabilities are an approximation of the exact model ({@link ChaoSampling}). Weights must be in the range (0,+Inf),
  * otherwise an {@link IllegalWeightException} is thrown.
  * <p>
  * This implementation never throws {@link StreamOverflowException}.