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    <title>Distribution With a Linear Proxy of the Inverse CDF on Sulprobil</title>
    <link>https://www.sulprobil.de/tags/distribution-with-a-linear-proxy-of-the-inverse-cdf/</link>
    <description>Recent content in Distribution With a Linear Proxy of the Inverse CDF on Sulprobil</description>
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    <lastBuildDate>Tue, 14 Jul 2026 16:11:00 +0100</lastBuildDate>
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      <title>sbRandPDF (VBA)</title>
      <link>https://www.sulprobil.de/sbrandpdf_en/</link>
      <pubDate>Tue, 14 Jul 2026 16:11:00 +0100</pubDate>
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      <description>&lt;h2 id=&#34;abstract&#34;&gt;Abstract&lt;/h2&gt;&#xA;&lt;p&gt;With an explicit form of a cumulative distribution function inverse you should use &lt;a href=&#34;https://www.sulprobil.de/sbrandcdfinv_en/&#34; title=&#34;sbRandCDFInv&#34;&gt;sbRandCDFInv&lt;/a&gt;&#xA;but if there is no such one then you can apply a linear approximation with the&#xA;probability distribution function sbRandPDF. Unfortunately the sbRandPDF approach&#xA;is computationally quite expensive, even if you reduce the number of linear points&#xA;in case of identical or almost identical slopes.&lt;/p&gt;&#xA;&lt;p&gt;A stratified sample:&lt;/p&gt;&#xA;&lt;p&gt;&lt;img src=&#34;https://www.sulprobil.de/Triang_stratified_sample.png&#34; alt=&#34;Triang_stratified_sample&#34;&gt;&lt;/p&gt;&#xA;&lt;h2 id=&#34;appendix--sbrandpdf-code&#34;&gt;Appendix – sbRandPDF Code&lt;/h2&gt;&#xA;&lt;p&gt;Please note that this function needs (calls) &lt;a href=&#34;https://www.sulprobil.de/sbrandgeneral_en/&#34; title=&#34;sbRandGeneral&#34;&gt;sbRandGeneral&lt;/a&gt;.&lt;/p&gt;</description>
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