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Updated User Guide to reflect MATH-1310 fix.

This commit is contained in:
Phil Steitz 2016-01-01 08:50:09 -07:00
parent 953c23242b
commit d7e7b226d8
1 changed files with 4 additions and 5 deletions
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9
src/site/xdoc/userguide/stat.xml
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@ -915,10 +915,9 @@ new KendallsCorrelation().correlation(x, y)
<a href="http://www.jstatsoft.org/v39/i11/"> Computing the Two-Sided Kolmogorov-Smirnov
Distribution</a> by Richard Simard and Pierre L'Ecuyer. In the 2-sample case, estimation
by default depends on the number of data points. For small samples, the distribution
is computed exactly; for moderately large samples a Monte Carlo procedure is used, and
for large samples a numerical approximation of the Kolmogorov distribution is used.
Methods to perform each type of p-value estimation are also exposed directly. See
the class javadoc for details.</li>
is computed exactly and for large samples a numerical approximation of the Kolmogorov
distribution is used. Methods to perform each type of p-value estimation are also exposed
directly. See the class javadoc for details.</li>
</ul>
</p>
<p>
@ -1237,7 +1236,7 @@ final double d = TestUtils.kolmogorovSmirnovStatistic(x, y);
TestUtils.exactP(d, x.length, y.length, false)
</source>
assuming that the non-strict form of the null hypothesis is desired. Note, however,
that exact computation for anything but very small samples takes a very long time.
that exact computation for large samples takes a long time.
</dd>
</dl>
</p>