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<div class="subTitle">org.apache.commons.math3.distribution</div>
<h2 title="Class NormalDistribution" class="title">Class NormalDistribution</h2>
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<li><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html" title="class in org.apache.commons.math3.distribution">org.apache.commons.math3.distribution.AbstractRealDistribution</a></li>
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<li>org.apache.commons.math3.distribution.NormalDistribution</li>
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<pre>public class <span class="strong">NormalDistribution</span>
extends <a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html" title="class in org.apache.commons.math3.distribution">AbstractRealDistribution</a></pre>
<div class="block">Implementation of the normal (gaussian) distribution.</div>
<dl><dt><span class="strong">Version:</span></dt>
<dd>$Id: NormalDistribution.java 1535290 2013-10-24 06:58:32Z luc $</dd>
<dt><span class="strong">See Also:</span></dt><dd><a href="http://en.wikipedia.org/wiki/Normal_distribution">Normal distribution (Wikipedia)</a>,
<a href="http://mathworld.wolfram.com/NormalDistribution.html">Normal distribution (MathWorld)</a>,
<a href="../../../../../serialized-form.html#org.apache.commons.math3.distribution.NormalDistribution">Serialized Form</a></dd></dl>
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<td class="colFirst"><code>static double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#DEFAULT_INVERSE_ABSOLUTE_ACCURACY">DEFAULT_INVERSE_ABSOLUTE_ACCURACY</a></strong></code>
<div class="block">Default inverse cumulative probability accuracy.</div>
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<h3>Fields inherited from class&nbsp;org.apache.commons.math3.distribution.<a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html" title="class in org.apache.commons.math3.distribution">AbstractRealDistribution</a></h3>
<code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#random">random</a>, <a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#randomData">randomData</a>, <a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#SOLVER_DEFAULT_ABSOLUTE_ACCURACY">SOLVER_DEFAULT_ABSOLUTE_ACCURACY</a></code></li>
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<td class="colOne"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#NormalDistribution()">NormalDistribution</a></strong>()</code>
<div class="block">Create a normal distribution with mean equal to zero and standard
deviation equal to one.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#NormalDistribution(double, double)">NormalDistribution</a></strong>(double&nbsp;mean,
double&nbsp;sd)</code>
<div class="block">Create a normal distribution using the given mean and standard deviation.</div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#NormalDistribution(double, double, double)">NormalDistribution</a></strong>(double&nbsp;mean,
double&nbsp;sd,
double&nbsp;inverseCumAccuracy)</code>
<div class="block">Create a normal distribution using the given mean, standard deviation and
inverse cumulative distribution accuracy.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#NormalDistribution(org.apache.commons.math3.random.RandomGenerator, double, double)">NormalDistribution</a></strong>(<a href="../../../../../org/apache/commons/math3/random/RandomGenerator.html" title="interface in org.apache.commons.math3.random">RandomGenerator</a>&nbsp;rng,
double&nbsp;mean,
double&nbsp;sd)</code>
<div class="block">Creates a normal distribution.</div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#NormalDistribution(org.apache.commons.math3.random.RandomGenerator, double, double, double)">NormalDistribution</a></strong>(<a href="../../../../../org/apache/commons/math3/random/RandomGenerator.html" title="interface in org.apache.commons.math3.random">RandomGenerator</a>&nbsp;rng,
double&nbsp;mean,
double&nbsp;sd,
double&nbsp;inverseCumAccuracy)</code>
<div class="block">Creates a normal distribution.</div>
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<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#cumulativeProbability(double)">cumulativeProbability</a></strong>(double&nbsp;x)</code>
<div class="block">For a random variable <code>X</code> whose values are distributed according
to this distribution, this method returns <code>P(X &lt;= x)</code>.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#cumulativeProbability(double, double)">cumulativeProbability</a></strong>(double&nbsp;x0,
double&nbsp;x1)</code>
<div class="block"><strong>Deprecated.</strong>&nbsp;
<div class="block"><i>See <a href="../../../../../org/apache/commons/math3/distribution/RealDistribution.html#cumulativeProbability(double, double)"><code>RealDistribution.cumulativeProbability(double,double)</code></a></i></div>
</div>
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<tr class="altColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#density(double)">density</a></strong>(double&nbsp;x)</code>
<div class="block">Returns the probability density function (PDF) of this distribution
evaluated at the specified point <code>x</code>.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#getMean()">getMean</a></strong>()</code>
<div class="block">Access the mean.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#getNumericalMean()">getNumericalMean</a></strong>()</code>
<div class="block">Use this method to get the numerical value of the mean of this
distribution.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#getNumericalVariance()">getNumericalVariance</a></strong>()</code>
<div class="block">Use this method to get the numerical value of the variance of this
distribution.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>protected double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#getSolverAbsoluteAccuracy()">getSolverAbsoluteAccuracy</a></strong>()</code>
<div class="block">Returns the solver absolute accuracy for inverse cumulative computation.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#getStandardDeviation()">getStandardDeviation</a></strong>()</code>
<div class="block">Access the standard deviation.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#getSupportLowerBound()">getSupportLowerBound</a></strong>()</code>
<div class="block">Access the lower bound of the support.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#getSupportUpperBound()">getSupportUpperBound</a></strong>()</code>
<div class="block">Access the upper bound of the support.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#inverseCumulativeProbability(double)">inverseCumulativeProbability</a></strong>(double&nbsp;p)</code>
<div class="block">Computes the quantile function of this distribution.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#isSupportConnected()">isSupportConnected</a></strong>()</code>
<div class="block">Use this method to get information about whether the support is connected,
i.e.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#isSupportLowerBoundInclusive()">isSupportLowerBoundInclusive</a></strong>()</code>
<div class="block">Whether or not the lower bound of support is in the domain of the density
function.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#isSupportUpperBoundInclusive()">isSupportUpperBoundInclusive</a></strong>()</code>
<div class="block">Whether or not the upper bound of support is in the domain of the density
function.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#logDensity(double)">logDensity</a></strong>(double&nbsp;x)</code>
<div class="block">Returns the natural logarithm of the probability density function (PDF) of this distribution
evaluated at the specified point <code>x</code>.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#probability(double, double)">probability</a></strong>(double&nbsp;x0,
double&nbsp;x1)</code>
<div class="block">For a random variable <code>X</code> whose values are distributed according
to this distribution, this method returns <code>P(x0 &lt; X &lt;= x1)</code>.</div>
</td>
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<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/NormalDistribution.html#sample()">sample</a></strong>()</code>
<div class="block">Generate a random value sampled from this distribution.</div>
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<h3>Methods inherited from class&nbsp;org.apache.commons.math3.distribution.<a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html" title="class in org.apache.commons.math3.distribution">AbstractRealDistribution</a></h3>
<code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#probability(double)">probability</a>, <a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#reseedRandomGenerator(long)">reseedRandomGenerator</a>, <a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#sample(int)">sample</a></code></li>
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<h4>DEFAULT_INVERSE_ABSOLUTE_ACCURACY</h4>
<pre>public static final&nbsp;double DEFAULT_INVERSE_ABSOLUTE_ACCURACY</pre>
<div class="block">Default inverse cumulative probability accuracy.</div>
<dl><dt><span class="strong">Since:</span></dt>
<dd>2.1</dd>
<dt><span class="strong">See Also:</span></dt><dd><a href="../../../../../constant-values.html#org.apache.commons.math3.distribution.NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY">Constant Field Values</a></dd></dl>
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<h4>NormalDistribution</h4>
<pre>public&nbsp;NormalDistribution()</pre>
<div class="block">Create a normal distribution with mean equal to zero and standard
deviation equal to one.</div>
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<pre>public&nbsp;NormalDistribution(double&nbsp;mean,
double&nbsp;sd)
throws <a href="../../../../../org/apache/commons/math3/exception/NotStrictlyPositiveException.html" title="class in org.apache.commons.math3.exception">NotStrictlyPositiveException</a></pre>
<div class="block">Create a normal distribution using the given mean and standard deviation.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>mean</code> - Mean for this distribution.</dd><dd><code>sd</code> - Standard deviation for this distribution.</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/exception/NotStrictlyPositiveException.html" title="class in org.apache.commons.math3.exception">NotStrictlyPositiveException</a></code> - if <code>sd &lt;= 0</code>.</dd></dl>
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<pre>public&nbsp;NormalDistribution(double&nbsp;mean,
double&nbsp;sd,
double&nbsp;inverseCumAccuracy)
throws <a href="../../../../../org/apache/commons/math3/exception/NotStrictlyPositiveException.html" title="class in org.apache.commons.math3.exception">NotStrictlyPositiveException</a></pre>
<div class="block">Create a normal distribution using the given mean, standard deviation and
inverse cumulative distribution accuracy.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>mean</code> - Mean for this distribution.</dd><dd><code>sd</code> - Standard deviation for this distribution.</dd><dd><code>inverseCumAccuracy</code> - Inverse cumulative probability accuracy.</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/exception/NotStrictlyPositiveException.html" title="class in org.apache.commons.math3.exception">NotStrictlyPositiveException</a></code> - if <code>sd &lt;= 0</code>.</dd><dt><span class="strong">Since:</span></dt>
<dd>2.1</dd></dl>
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<pre>public&nbsp;NormalDistribution(<a href="../../../../../org/apache/commons/math3/random/RandomGenerator.html" title="interface in org.apache.commons.math3.random">RandomGenerator</a>&nbsp;rng,
double&nbsp;mean,
double&nbsp;sd)
throws <a href="../../../../../org/apache/commons/math3/exception/NotStrictlyPositiveException.html" title="class in org.apache.commons.math3.exception">NotStrictlyPositiveException</a></pre>
<div class="block">Creates a normal distribution.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>rng</code> - Random number generator.</dd><dd><code>mean</code> - Mean for this distribution.</dd><dd><code>sd</code> - Standard deviation for this distribution.</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/exception/NotStrictlyPositiveException.html" title="class in org.apache.commons.math3.exception">NotStrictlyPositiveException</a></code> - if <code>sd &lt;= 0</code>.</dd><dt><span class="strong">Since:</span></dt>
<dd>3.3</dd></dl>
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<pre>public&nbsp;NormalDistribution(<a href="../../../../../org/apache/commons/math3/random/RandomGenerator.html" title="interface in org.apache.commons.math3.random">RandomGenerator</a>&nbsp;rng,
double&nbsp;mean,
double&nbsp;sd,
double&nbsp;inverseCumAccuracy)
throws <a href="../../../../../org/apache/commons/math3/exception/NotStrictlyPositiveException.html" title="class in org.apache.commons.math3.exception">NotStrictlyPositiveException</a></pre>
<div class="block">Creates a normal distribution.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>rng</code> - Random number generator.</dd><dd><code>mean</code> - Mean for this distribution.</dd><dd><code>sd</code> - Standard deviation for this distribution.</dd><dd><code>inverseCumAccuracy</code> - Inverse cumulative probability accuracy.</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/exception/NotStrictlyPositiveException.html" title="class in org.apache.commons.math3.exception">NotStrictlyPositiveException</a></code> - if <code>sd &lt;= 0</code>.</dd><dt><span class="strong">Since:</span></dt>
<dd>3.1</dd></dl>
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</ul>
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<pre>public&nbsp;double&nbsp;getMean()</pre>
<div class="block">Access the mean.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>the mean for this distribution.</dd></dl>
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<pre>public&nbsp;double&nbsp;getStandardDeviation()</pre>
<div class="block">Access the standard deviation.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>the standard deviation for this distribution.</dd></dl>
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<pre>public&nbsp;double&nbsp;density(double&nbsp;x)</pre>
<div class="block">Returns the probability density function (PDF) of this distribution
evaluated at the specified point <code>x</code>. In general, the PDF is
the derivative of the <a href="../../../../../org/apache/commons/math3/distribution/RealDistribution.html#cumulativeProbability(double)"><code>CDF</code></a>.
If the derivative does not exist at <code>x</code>, then an appropriate
replacement should be returned, e.g. <code>Double.POSITIVE_INFINITY</code>,
<code>Double.NaN</code>, or the limit inferior or limit superior of the
difference quotient.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>x</code> - the point at which the PDF is evaluated</dd>
<dt><span class="strong">Returns:</span></dt><dd>the value of the probability density function at point <code>x</code></dd></dl>
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<pre>public&nbsp;double&nbsp;logDensity(double&nbsp;x)</pre>
<div class="block">Returns the natural logarithm of the probability density function (PDF) of this distribution
evaluated at the specified point <code>x</code>. In general, the PDF is the derivative of the
<a href="../../../../../org/apache/commons/math3/distribution/RealDistribution.html#cumulativeProbability(double)"><code>CDF</code></a>. If the derivative does not exist at <code>x</code>,
then an appropriate replacement should be returned, e.g. <code>Double.POSITIVE_INFINITY</code>,
<code>Double.NaN</code>, or the limit inferior or limit superior of the difference quotient. Note
that due to the floating point precision and under/overflow issues, this method will for some
distributions be more precise and faster than computing the logarithm of
<a href="../../../../../org/apache/commons/math3/distribution/RealDistribution.html#density(double)"><code>RealDistribution.density(double)</code></a>. The default implementation simply computes the logarithm of
<code>density(x)</code>.</div>
<dl>
<dt><strong>Overrides:</strong></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#logDensity(double)">logDensity</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html" title="class in org.apache.commons.math3.distribution">AbstractRealDistribution</a></code></dd>
<dt><span class="strong">Parameters:</span></dt><dd><code>x</code> - the point at which the PDF is evaluated</dd>
<dt><span class="strong">Returns:</span></dt><dd>the logarithm of the value of the probability density function at point <code>x</code></dd></dl>
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<pre>public&nbsp;double&nbsp;cumulativeProbability(double&nbsp;x)</pre>
<div class="block">For a random variable <code>X</code> whose values are distributed according
to this distribution, this method returns <code>P(X &lt;= x)</code>. In other
words, this method represents the (cumulative) distribution function
(CDF) for this distribution.
If <code>x</code> 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</code> of 0 or 1.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>x</code> - the point at which the CDF is evaluated</dd>
<dt><span class="strong">Returns:</span></dt><dd>the probability that a random variable with this
distribution takes a value less than or equal to <code>x</code></dd></dl>
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<pre>public&nbsp;double&nbsp;inverseCumulativeProbability(double&nbsp;p)
throws <a href="../../../../../org/apache/commons/math3/exception/OutOfRangeException.html" title="class in org.apache.commons.math3.exception">OutOfRangeException</a></pre>
<div class="block">Computes the quantile function of this distribution. For a random
variable <code>X</code> distributed according to this distribution, the
returned value is
<ul>
<li><code>inf{x in R | P(X<=x) >= p}</code> for <code>0 &lt; p &lt;= 1</code>,</li>
<li><code>inf{x in R | P(X<=x) > 0}</code> for <code>p = 0</code>.</li>
</ul>
The default implementation returns
<ul>
<li><a href="../../../../../org/apache/commons/math3/distribution/RealDistribution.html#getSupportLowerBound()"><code>RealDistribution.getSupportLowerBound()</code></a> for <code>p = 0</code>,</li>
<li><a href="../../../../../org/apache/commons/math3/distribution/RealDistribution.html#getSupportUpperBound()"><code>RealDistribution.getSupportUpperBound()</code></a> for <code>p = 1</code>.</li>
</ul></div>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/distribution/RealDistribution.html#inverseCumulativeProbability(double)">inverseCumulativeProbability</a></code>&nbsp;in interface&nbsp;<code><a href="../../../../../org/apache/commons/math3/distribution/RealDistribution.html" title="interface in org.apache.commons.math3.distribution">RealDistribution</a></code></dd>
<dt><strong>Overrides:</strong></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#inverseCumulativeProbability(double)">inverseCumulativeProbability</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html" title="class in org.apache.commons.math3.distribution">AbstractRealDistribution</a></code></dd>
<dt><span class="strong">Parameters:</span></dt><dd><code>p</code> - the cumulative probability</dd>
<dt><span class="strong">Returns:</span></dt><dd>the smallest <code>p</code>-quantile of this distribution
(largest 0-quantile for <code>p = 0</code>)</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/exception/OutOfRangeException.html" title="class in org.apache.commons.math3.exception">OutOfRangeException</a></code> - if <code>p &lt; 0</code> or <code>p &gt; 1</code></dd><dt><span class="strong">Since:</span></dt>
<dd>3.2</dd></dl>
</li>
</ul>
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<h4>cumulativeProbability</h4>
<pre><a href="http://docs.oracle.com/javase/6/docs/api/java/lang/Deprecated.html?is-external=true" title="class or interface in java.lang">@Deprecated</a>
public&nbsp;double&nbsp;cumulativeProbability(double&nbsp;x0,
double&nbsp;x1)
throws <a href="../../../../../org/apache/commons/math3/exception/NumberIsTooLargeException.html" title="class in org.apache.commons.math3.exception">NumberIsTooLargeException</a></pre>
<div class="block"><span class="strong">Deprecated.</span>&nbsp;<i>See <a href="../../../../../org/apache/commons/math3/distribution/RealDistribution.html#cumulativeProbability(double, double)"><code>RealDistribution.cumulativeProbability(double,double)</code></a></i></div>
<div class="block">For a random variable <code>X</code> whose values are distributed according
to this distribution, this method returns <code>P(x0 &lt; X &lt;= x1)</code>.
The default implementation uses the identity
<p><code>P(x0 &lt; X &lt;= x1) = P(X &lt;= x1) - P(X &lt;= x0)</code></p></div>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/distribution/RealDistribution.html#cumulativeProbability(double, double)">cumulativeProbability</a></code>&nbsp;in interface&nbsp;<code><a href="../../../../../org/apache/commons/math3/distribution/RealDistribution.html" title="interface in org.apache.commons.math3.distribution">RealDistribution</a></code></dd>
<dt><strong>Overrides:</strong></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#cumulativeProbability(double, double)">cumulativeProbability</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html" title="class in org.apache.commons.math3.distribution">AbstractRealDistribution</a></code></dd>
<dt><span class="strong">Parameters:</span></dt><dd><code>x0</code> - the exclusive lower bound</dd><dd><code>x1</code> - the inclusive upper bound</dd>
<dt><span class="strong">Returns:</span></dt><dd>the probability that a random variable with this distribution
takes a value between <code>x0</code> and <code>x1</code>,
excluding the lower and including the upper endpoint</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/exception/NumberIsTooLargeException.html" title="class in org.apache.commons.math3.exception">NumberIsTooLargeException</a></code> - if <code>x0 &gt; x1</code></dd></dl>
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<pre>public&nbsp;double&nbsp;probability(double&nbsp;x0,
double&nbsp;x1)
throws <a href="../../../../../org/apache/commons/math3/exception/NumberIsTooLargeException.html" title="class in org.apache.commons.math3.exception">NumberIsTooLargeException</a></pre>
<div class="block">For a random variable <code>X</code> whose values are distributed according
to this distribution, this method returns <code>P(x0 &lt; X &lt;= x1)</code>.</div>
<dl>
<dt><strong>Overrides:</strong></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#probability(double, double)">probability</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html" title="class in org.apache.commons.math3.distribution">AbstractRealDistribution</a></code></dd>
<dt><span class="strong">Parameters:</span></dt><dd><code>x0</code> - Lower bound (excluded).</dd><dd><code>x1</code> - Upper bound (included).</dd>
<dt><span class="strong">Returns:</span></dt><dd>the probability that a random variable with this distribution
takes a value between <code>x0</code> and <code>x1</code>, excluding the lower
and including the upper endpoint.</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/exception/NumberIsTooLargeException.html" title="class in org.apache.commons.math3.exception">NumberIsTooLargeException</a></code> - if <code>x0 &gt; x1</code>.
The default implementation uses the identity
<code>P(x0 &lt; X &lt;= x1) = P(X &lt;= x1) - P(X &lt;= x0)</code></dd></dl>
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<pre>protected&nbsp;double&nbsp;getSolverAbsoluteAccuracy()</pre>
<div class="block">Returns the solver absolute accuracy for inverse cumulative computation.
You can override this method in order to use a Brent solver with an
absolute accuracy different from the default.</div>
<dl>
<dt><strong>Overrides:</strong></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#getSolverAbsoluteAccuracy()">getSolverAbsoluteAccuracy</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html" title="class in org.apache.commons.math3.distribution">AbstractRealDistribution</a></code></dd>
<dt><span class="strong">Returns:</span></dt><dd>the maximum absolute error in inverse cumulative probability estimates</dd></dl>
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<pre>public&nbsp;double&nbsp;getNumericalMean()</pre>
<div class="block">Use this method to get the numerical value of the mean of this
distribution.
For mean parameter <code>mu</code>, the mean is <code>mu</code>.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>the mean or <code>Double.NaN</code> if it is not defined</dd></dl>
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<pre>public&nbsp;double&nbsp;getNumericalVariance()</pre>
<div class="block">Use this method to get the numerical value of the variance of this
distribution.
For standard deviation parameter <code>s</code>, the variance is <code>s^2</code>.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>the variance (possibly <code>Double.POSITIVE_INFINITY</code> as
for certain cases in <a href="../../../../../org/apache/commons/math3/distribution/TDistribution.html" title="class in org.apache.commons.math3.distribution"><code>TDistribution</code></a>) or <code>Double.NaN</code> if it
is not defined</dd></dl>
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<pre>public&nbsp;double&nbsp;getSupportLowerBound()</pre>
<div class="block">Access the lower bound of the support. This method must return the same
value as <code>inverseCumulativeProbability(0)</code>. In other words, this
method must return
<p><code>inf {x in R | P(X <= x) > 0}</code>.</p>
The lower bound of the support is always negative infinity
no matter the parameters.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>lower bound of the support (always
<code>Double.NEGATIVE_INFINITY</code>)</dd></dl>
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<pre>public&nbsp;double&nbsp;getSupportUpperBound()</pre>
<div class="block">Access the upper bound of the support. This method must return the same
value as <code>inverseCumulativeProbability(1)</code>. In other words, this
method must return
<p><code>inf {x in R | P(X <= x) = 1}</code>.</p>
The upper bound of the support is always positive infinity
no matter the parameters.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>upper bound of the support (always
<code>Double.POSITIVE_INFINITY</code>)</dd></dl>
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<pre>public&nbsp;boolean&nbsp;isSupportLowerBoundInclusive()</pre>
<div class="block">Whether or not the lower bound of support is in the domain of the density
function. Returns true iff <code>getSupporLowerBound()</code> is finite and
<code>density(getSupportLowerBound())</code> returns a non-NaN, non-infinite
value.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>true if the lower bound of support is finite and the density
function returns a non-NaN, non-infinite value there</dd></dl>
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<pre>public&nbsp;boolean&nbsp;isSupportUpperBoundInclusive()</pre>
<div class="block">Whether or not the upper bound of support is in the domain of the density
function. Returns true iff <code>getSupportUpperBound()</code> is finite and
<code>density(getSupportUpperBound())</code> returns a non-NaN, non-infinite
value.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>true if the upper bound of support is finite and the density
function returns a non-NaN, non-infinite value there</dd></dl>
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<pre>public&nbsp;boolean&nbsp;isSupportConnected()</pre>
<div class="block">Use this method to get information about whether the support is connected,
i.e. whether all values between the lower and upper bound of the support
are included in the support.
The support of this distribution is connected.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd><code>true</code></dd></dl>
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<h4>sample</h4>
<pre>public&nbsp;double&nbsp;sample()</pre>
<div class="block">Generate a random value sampled from this distribution.
The default implementation uses the
<a href="http://en.wikipedia.org/wiki/Inverse_transform_sampling">
inversion method.
</a></div>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/distribution/RealDistribution.html#sample()">sample</a></code>&nbsp;in interface&nbsp;<code><a href="../../../../../org/apache/commons/math3/distribution/RealDistribution.html" title="interface in org.apache.commons.math3.distribution">RealDistribution</a></code></dd>
<dt><strong>Overrides:</strong></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#sample()">sample</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html" title="class in org.apache.commons.math3.distribution">AbstractRealDistribution</a></code></dd>
<dt><span class="strong">Returns:</span></dt><dd>a random value.</dd></dl>
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