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<a name="The-Exponential-Power-Distribution"></a>
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Next: <a rel="next" accesskey="n" href="The-Cauchy-Distribution.html#The-Cauchy-Distribution">The Cauchy Distribution</a>,
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<h3 class="section">19.7 The Exponential Power Distribution</h3>
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— Function: double <b>gsl_ran_exppow</b> (<var>const gsl_rng * r, double a, double b</var>)<var><a name="index-gsl_005fran_005fexppow-1513"></a></var><br>
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<blockquote><p><a name="index-Exponential-power-distribution-1514"></a>This function returns a random variate from the exponential power distribution
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with scale parameter <var>a</var> and exponent <var>b</var>. The distribution is,
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for <!-- {$x \ge 0$} -->
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x >= 0. For b = 1 this reduces to the Laplace
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distribution. For b = 2 it has the same form as a gaussian
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distribution, but with <!-- {$a = \sqrt{2} \sigma$} -->
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</p></blockquote></div>
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— Function: double <b>gsl_ran_exppow_pdf</b> (<var>double x, double a, double b</var>)<var><a name="index-gsl_005fran_005fexppow_005fpdf-1515"></a></var><br>
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<blockquote><p>This function computes the probability density p(x) at <var>x</var>
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for an exponential power distribution with scale parameter <var>a</var>
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and exponent <var>b</var>, using the formula given above.
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</p></blockquote></div>
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— Function: double <b>gsl_cdf_exppow_P</b> (<var>double x, double a, double b</var>)<var><a name="index-gsl_005fcdf_005fexppow_005fP-1516"></a></var><br>
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— Function: double <b>gsl_cdf_exppow_Q</b> (<var>double x, double a, double b</var>)<var><a name="index-gsl_005fcdf_005fexppow_005fQ-1517"></a></var><br>
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<blockquote><p>These functions compute the cumulative distribution functions
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P(x), Q(x) for the exponential power distribution with
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parameters <var>a</var> and <var>b</var>.
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</p></blockquote></div>