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    <title>topic Univariate Hodges-Lehmann Estimator? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Univariate-Hodges-Lehmann-Estimator/m-p/477026#M24832</link>
    <description>&lt;P&gt;Proc NPAR1WAY in v9.4 contains an option for the two sample Hodges-Lehmann location estimate but, based on my survey of the SAS Support literature, there does not appear to be a procedure supporting a univariate HL estimate nor does there appear to be a computationally feasible approach to producing on with large &lt;EM&gt;n&lt;/EM&gt;.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Is this correct?&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 11 Jul 2018 10:24:48 GMT</pubDate>
    <dc:creator>xtc283x</dc:creator>
    <dc:date>2018-07-11T10:24:48Z</dc:date>
    <item>
      <title>Univariate Hodges-Lehmann Estimator?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Univariate-Hodges-Lehmann-Estimator/m-p/477026#M24832</link>
      <description>&lt;P&gt;Proc NPAR1WAY in v9.4 contains an option for the two sample Hodges-Lehmann location estimate but, based on my survey of the SAS Support literature, there does not appear to be a procedure supporting a univariate HL estimate nor does there appear to be a computationally feasible approach to producing on with large &lt;EM&gt;n&lt;/EM&gt;.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Is this correct?&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 11 Jul 2018 10:24:48 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Univariate-Hodges-Lehmann-Estimator/m-p/477026#M24832</guid>
      <dc:creator>xtc283x</dc:creator>
      <dc:date>2018-07-11T10:24:48Z</dc:date>
    </item>
    <item>
      <title>Re: Univariate Hodges-Lehmann Estimator?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Univariate-Hodges-Lehmann-Estimator/m-p/477433#M24858</link>
      <description>&lt;P&gt;How&amp;nbsp;big is your sample size, N?&lt;/P&gt;</description>
      <pubDate>Thu, 12 Jul 2018 13:05:58 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Univariate-Hodges-Lehmann-Estimator/m-p/477433#M24858</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2018-07-12T13:05:58Z</dc:date>
    </item>
    <item>
      <title>Re: Univariate Hodges-Lehmann Estimator?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Univariate-Hodges-Lehmann-Estimator/m-p/477438#M24859</link>
      <description>Quite large...millions of records.&amp;nbsp;Thank you!&lt;BR /&gt;</description>
      <pubDate>Thu, 12 Jul 2018 13:09:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Univariate-Hodges-Lehmann-Estimator/m-p/477438#M24859</guid>
      <dc:creator>xtc283x</dc:creator>
      <dc:date>2018-07-12T13:09:42Z</dc:date>
    </item>
    <item>
      <title>Re: Univariate Hodges-Lehmann Estimator?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Univariate-Hodges-Lehmann-Estimator/m-p/477457#M24861</link>
      <description>&lt;P&gt;I'm sure you are aware that the H-L estimator requires N(N+1)/2 comparisons to estimate the location parameter in the population. In contrast, the sample median estimates the location parameter much faster and is also a robust estimator. For a data set with millions of records, I would expect the median and the H-L estimate (the pseudo-median) to be very&amp;nbsp;close.&lt;/P&gt;</description>
      <pubDate>Thu, 12 Jul 2018 13:29:58 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Univariate-Hodges-Lehmann-Estimator/m-p/477457#M24861</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2018-07-12T13:29:58Z</dc:date>
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