This commit is contained in:
Morten Hjorth-Jensen
2022-09-16 04:58:03 +02:00
parent ee37ac6e28
commit 4be6ad557e
9 changed files with 158 additions and 158 deletions
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@@ -284,7 +284,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Sep 15, 2022</h4>
<h4>Sep 16, 2022</h4>
</center> <!-- date -->
<br>
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@@ -270,7 +270,7 @@ MathJax.Hub.Config({
<div class="panel panel-default">
<div class="panel-body">
<!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
<p>Bootstrapping is a non-parametric approach to statistical inference
<p>Bootstrapping is a <a href="https://en.wikipedia.org/wiki/Nonparametric_statistics" target="_self">non-parametric approach</a> to statistical inference
that substitutes computation for more traditional distributional
assumptions and asymptotic results. Bootstrapping offers a number of
advantages:
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@@ -284,7 +284,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Sep 15, 2022</h4>
<h4>Sep 16, 2022</h4>
</center> <!-- date -->
<br>
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@@ -184,7 +184,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Sep 15, 2022</h4>
<h4>Sep 16, 2022</h4>
</center> <!-- date -->
<br>
@@ -925,7 +925,7 @@ t = jackknife(x, stat)
<div class="alert alert-block alert-block alert-text-normal">
<b></b>
<p>
<p>Bootstrapping is a non-parametric approach to statistical inference
<p>Bootstrapping is a <a href="https://en.wikipedia.org/wiki/Nonparametric_statistics" target="_blank">non-parametric approach</a> to statistical inference
that substitutes computation for more traditional distributional
assumptions and asymptotic results. Bootstrapping offers a number of
advantages:
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@@ -237,7 +237,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Sep 15, 2022</h4>
<h4>Sep 16, 2022</h4>
</center> <!-- date -->
<br>
@@ -900,7 +900,7 @@ t = jackknife(x, stat)
<div class="alert alert-block alert-block alert-text-normal">
<b></b>
<p>
<p>Bootstrapping is a non-parametric approach to statistical inference
<p>Bootstrapping is a <a href="https://en.wikipedia.org/wiki/Nonparametric_statistics" target="_blank">non-parametric approach</a> to statistical inference
that substitutes computation for more traditional distributional
assumptions and asymptotic results. Bootstrapping offers a number of
advantages:
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@@ -314,7 +314,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Sep 15, 2022</h4>
<h4>Sep 16, 2022</h4>
</center> <!-- date -->
<br>
@@ -977,7 +977,7 @@ t <span style="color: #666666">=</span> jackknife(x, stat)
<div class="alert alert-block alert-block alert-text-normal">
<b></b>
<p>
<p>Bootstrapping is a non-parametric approach to statistical inference
<p>Bootstrapping is a <a href="https://en.wikipedia.org/wiki/Nonparametric_statistics" target="_blank">non-parametric approach</a> to statistical inference
that substitutes computation for more traditional distributional
assumptions and asymptotic results. Bootstrapping offers a number of
advantages:
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@@ -622,7 +622,7 @@ t = jackknife(x, stat)
!split
===== Resampling methods: Bootstrap =====
!bblock
Bootstrapping is a non-parametric approach to statistical inference
Bootstrapping is a "non-parametric approach":"https://en.wikipedia.org/wiki/Nonparametric_statistics" to statistical inference
that substitutes computation for more traditional distributional
assumptions and asymptotic results. Bootstrapping offers a number of
advantages: