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<title>The Type-1 Gumbel Distribution - GNU Scientific Library -- Reference Manual</title>
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Next:&nbsp;<a rel="next" accesskey="n" href="The-Type_002d2-Gumbel-Distribution.html">The Type-2 Gumbel Distribution</a>,
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<h3 class="section">19.25 The Type-1 Gumbel Distribution</h3>

<div class="defun">
&mdash; Function: double <b>gsl_ran_gumbel1</b> (<var>const gsl_rng * r, double a, double b</var>)<var><a name="index-gsl_005fran_005fgumbel1-1736"></a></var><br>
<blockquote><p><a name="index-Gumbel-distribution-_0028Type-1_0029-1737"></a><a name="index-Type-1-Gumbel-distribution_002c-random-variates-1738"></a>This function returns  a random variate from the Type-1 Gumbel
distribution.  The Type-1 Gumbel distribution function is,

     <pre class="example">          p(x) dx = a b \exp(-(b \exp(-ax) + ax)) dx
</pre>
        <p class="noindent">for -\infty &lt; x &lt; \infty. 
</p></blockquote></div>

<div class="defun">
&mdash; Function: double <b>gsl_ran_gumbel1_pdf</b> (<var>double x, double a, double b</var>)<var><a name="index-gsl_005fran_005fgumbel1_005fpdf-1739"></a></var><br>
<blockquote><p>This function computes the probability density p(x) at <var>x</var>
for a Type-1 Gumbel distribution with parameters <var>a</var> and <var>b</var>,
using the formula given above. 
</p></blockquote></div>

   <pre class="sp">

</pre>

<div class="defun">
&mdash; Function: double <b>gsl_cdf_gumbel1_P</b> (<var>double x, double a, double b</var>)<var><a name="index-gsl_005fcdf_005fgumbel1_005fP-1740"></a></var><br>
&mdash; Function: double <b>gsl_cdf_gumbel1_Q</b> (<var>double x, double a, double b</var>)<var><a name="index-gsl_005fcdf_005fgumbel1_005fQ-1741"></a></var><br>
&mdash; Function: double <b>gsl_cdf_gumbel1_Pinv</b> (<var>double P, double a, double b</var>)<var><a name="index-gsl_005fcdf_005fgumbel1_005fPinv-1742"></a></var><br>
&mdash; Function: double <b>gsl_cdf_gumbel1_Qinv</b> (<var>double Q, double a, double b</var>)<var><a name="index-gsl_005fcdf_005fgumbel1_005fQinv-1743"></a></var><br>
<blockquote><p>These functions compute the cumulative distribution functions
P(x), Q(x) and their inverses for the Type-1 Gumbel
distribution with parameters <var>a</var> and <var>b</var>. 
</p></blockquote></div>

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