update
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@@ -284,7 +284,7 @@ MathJax.Hub.Config({
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</center>
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<br>
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<center>
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<h4>Sep 15, 2022</h4>
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<h4>Sep 16, 2022</h4>
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</center> <!-- date -->
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<br>
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@@ -270,7 +270,7 @@ MathJax.Hub.Config({
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<div class="panel panel-default">
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<div class="panel-body">
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<!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
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<p>Bootstrapping is a non-parametric approach to statistical inference
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<p>Bootstrapping is a <a href="https://en.wikipedia.org/wiki/Nonparametric_statistics" target="_self">non-parametric approach</a> to statistical inference
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that substitutes computation for more traditional distributional
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assumptions and asymptotic results. Bootstrapping offers a number of
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advantages:
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@@ -284,7 +284,7 @@ MathJax.Hub.Config({
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</center>
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<br>
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<center>
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<h4>Sep 15, 2022</h4>
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<h4>Sep 16, 2022</h4>
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</center> <!-- date -->
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<br>
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@@ -184,7 +184,7 @@ MathJax.Hub.Config({
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</center>
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<br>
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<center>
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<h4>Sep 15, 2022</h4>
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<h4>Sep 16, 2022</h4>
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</center> <!-- date -->
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<br>
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@@ -925,7 +925,7 @@ t = jackknife(x, stat)
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<div class="alert alert-block alert-block alert-text-normal">
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<b></b>
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<p>
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<p>Bootstrapping is a non-parametric approach to statistical inference
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<p>Bootstrapping is a <a href="https://en.wikipedia.org/wiki/Nonparametric_statistics" target="_blank">non-parametric approach</a> to statistical inference
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that substitutes computation for more traditional distributional
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assumptions and asymptotic results. Bootstrapping offers a number of
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advantages:
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@@ -237,7 +237,7 @@ MathJax.Hub.Config({
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</center>
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<br>
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<center>
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<h4>Sep 15, 2022</h4>
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<h4>Sep 16, 2022</h4>
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</center> <!-- date -->
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<br>
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@@ -900,7 +900,7 @@ t = jackknife(x, stat)
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<div class="alert alert-block alert-block alert-text-normal">
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<b></b>
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<p>
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<p>Bootstrapping is a non-parametric approach to statistical inference
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<p>Bootstrapping is a <a href="https://en.wikipedia.org/wiki/Nonparametric_statistics" target="_blank">non-parametric approach</a> to statistical inference
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that substitutes computation for more traditional distributional
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assumptions and asymptotic results. Bootstrapping offers a number of
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advantages:
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@@ -314,7 +314,7 @@ MathJax.Hub.Config({
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</center>
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<br>
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<center>
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<h4>Sep 15, 2022</h4>
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<h4>Sep 16, 2022</h4>
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</center> <!-- date -->
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<br>
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@@ -977,7 +977,7 @@ t <span style="color: #666666">=</span> jackknife(x, stat)
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<div class="alert alert-block alert-block alert-text-normal">
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<b></b>
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<p>
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<p>Bootstrapping is a non-parametric approach to statistical inference
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<p>Bootstrapping is a <a href="https://en.wikipedia.org/wiki/Nonparametric_statistics" target="_blank">non-parametric approach</a> to statistical inference
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that substitutes computation for more traditional distributional
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assumptions and asymptotic results. Bootstrapping offers a number of
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advantages:
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@@ -622,7 +622,7 @@ t = jackknife(x, stat)
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!split
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===== Resampling methods: Bootstrap =====
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!bblock
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Bootstrapping is a non-parametric approach to statistical inference
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Bootstrapping is a "non-parametric approach":"https://en.wikipedia.org/wiki/Nonparametric_statistics" to statistical inference
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that substitutes computation for more traditional distributional
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assumptions and asymptotic results. Bootstrapping offers a number of
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advantages:
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