Userguide.
diff --git a/src/site/xdoc/userguide/distribution.xml b/src/site/xdoc/userguide/distribution.xml
index 7d5c723..6a21aa0 100644
--- a/src/site/xdoc/userguide/distribution.xml
+++ b/src/site/xdoc/userguide/distribution.xml
@@ -63,17 +63,16 @@
href="empirical">
<p>
Using the <code>EmpiricalDistribution</code> class, you can generate data based on
- the values in an input file:
+ a given set of values:
<source>
+double[] input = load("data.txt"); // Get some data.
int binCount = 500;
-EmpiricalDistribution empDist = new EmpiricalDistribution(binCount);
-empDist.load("data.txt");
-RealDistribution.Sampler sampler = empDist.createSampler(RandomSource.MT.create());
+EmpiricalDistribution empDist = EmpiricalDistribution.from(binCount, input);
+ContinuousDistribution.Sampler sampler = empDist.createSampler(RandomSource.MT.create());
double value = sampler.nextDouble(); </source>
- The entire input file is read and a probability density function is estimated
- based on data from the file.
+ The probability density function is estimated from the data passed as input.
The estimation method is essentially the
<a href="http://nedwww.ipac.caltech.edu/level5/March02/Silverman/Silver2_6.html">
Variable Kernel Method</a> with Gaussian smoothing.
@@ -81,8 +80,7 @@
matches the empirical distribution (i.e. if you generate a large number of
such values, their distribution should "look like" the distribution of the
values in the input file.
- The values are not stored in memory in this case either, so there is no limit to the
- size of the input file.
+ The input values are not stored in memory.
</p>
</subsection>
</section>
