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Updated User Guide to reflect MATH-1310 fix.

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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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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 <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 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 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 is computed exactly and for large samples a numerical approximation of the Kolmogorov
for large samples a numerical approximation of the Kolmogorov distribution is used. distribution is used. Methods to perform each type of p-value estimation are also exposed
Methods to perform each type of p-value estimation are also exposed directly. See directly. See the class javadoc for details.</li>
the class javadoc for details.</li>
</ul> </ul>
</p> </p>
<p> <p>
@ -1237,7 +1236,7 @@ final double d = TestUtils.kolmogorovSmirnovStatistic(x, y);
TestUtils.exactP(d, x.length, y.length, false) TestUtils.exactP(d, x.length, y.length, false)
</source> </source>
assuming that the non-strict form of the null hypothesis is desired. Note, however, 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> </dd>
</dl> </dl>
</p> </p>