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authorDongHun Kwak <dh0128.kwak@samsung.com>2017-09-13 11:24:46 +0900
committerDongHun Kwak <dh0128.kwak@samsung.com>2017-09-13 11:25:39 +0900
commit4fadd968fa12130524c8380f33fcfe25d4de79e5 (patch)
treefd26a490cd15388d42fc6652b3c5c13012e7f93e /doc/html/boost/accumulators/impl/weighted_skewness_impl.html
parentb5c87084afaef42b2d058f68091be31988a6a874 (diff)
downloadboost-upstream/1.65.0.tar.gz
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Change-Id: Icf8400b375482cb11bcf77440a6934ba360d6ba4 Signed-off-by: DongHun Kwak <dh0128.kwak@samsung.com>
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diff --git a/doc/html/boost/accumulators/impl/weighted_skewness_impl.html b/doc/html/boost/accumulators/impl/weighted_skewness_impl.html
index 6e59911149..a8904f5083 100644
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+<link rel="prev" href="weighted_p_sq_idp438944080.html" title="Struct template weighted_p_square_quantile_impl">
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<a name="boost.accumulators.impl.weighted_skewness_impl"></a><div class="titlepage"></div>
@@ -35,32 +35,32 @@
</span><span class="keyword">template</span><span class="special">&lt;</span><span class="keyword">typename</span> Sample<span class="special">,</span> <span class="keyword">typename</span> Weight<span class="special">&gt;</span>
<span class="keyword">struct</span> <a class="link" href="weighted_skewness_impl.html" title="Struct template weighted_skewness_impl">weighted_skewness_impl</a> <span class="special">:</span> <span class="keyword">public</span> <span class="identifier">accumulator_base</span> <span class="special">{</span>
<span class="comment">// <a class="link" href="weighted_skewness_impl.html#boost.accumulators.impl.weighted_skewness_implconstruct-copy-destruct">construct/copy/destruct</a></span>
- <a class="link" href="weighted_skewness_impl.html#idp417474176-bb"><span class="identifier">weighted_skewness_impl</span></a><span class="special">(</span><span class="identifier">dont_care</span><span class="special">)</span><span class="special">;</span>
+ <a class="link" href="weighted_skewness_impl.html#idp438991408-bb"><span class="identifier">weighted_skewness_impl</span></a><span class="special">(</span><span class="identifier">dont_care</span><span class="special">)</span><span class="special">;</span>
- <span class="comment">// <a class="link" href="weighted_skewness_impl.html#idp417471184-bb">public member functions</a></span>
- <span class="keyword">template</span><span class="special">&lt;</span><span class="keyword">typename</span> Args<span class="special">&gt;</span> <span class="identifier">result_type</span> <a class="link" href="weighted_skewness_impl.html#idp417471680-bb"><span class="identifier">result</span></a><span class="special">(</span><span class="identifier">Args</span> <span class="keyword">const</span> <span class="special">&amp;</span><span class="special">)</span> <span class="keyword">const</span><span class="special">;</span>
+ <span class="comment">// <a class="link" href="weighted_skewness_impl.html#idp438988416-bb">public member functions</a></span>
+ <span class="keyword">template</span><span class="special">&lt;</span><span class="keyword">typename</span> Args<span class="special">&gt;</span> <span class="identifier">result_type</span> <a class="link" href="weighted_skewness_impl.html#idp438988912-bb"><span class="identifier">result</span></a><span class="special">(</span><span class="identifier">Args</span> <span class="keyword">const</span> <span class="special">&amp;</span><span class="special">)</span> <span class="keyword">const</span><span class="special">;</span>
<span class="special">}</span><span class="special">;</span></pre></div>
<div class="refsect1">
-<a name="idp118133008"></a><h2>Description</h2>
-<p>The skewness of a sample distribution is defined as the ratio of the 3rd central moment and the <span class="inlinemediaobject"><img src="../../../images/accumulators//form_67.png"></span>-th power $ of the 2nd central moment (the variance) of the samples. The skewness can also be expressed by the simple moments:</p>
+<a name="idp100033216"></a><h2>Description</h2>
+<p>The skewness of a sample distribution is defined as the ratio of the 3rd central moment and the <span class="inlinemediaobject"><img src="../../../images/accumulators//form_28.png"></span>-th power $ of the 2nd central moment (the variance) of the samples. The skewness can also be expressed by the simple moments:</p>
<div class="equation">
-<a name="idp118136272"></a><p class="title"><b>Equation&#160;1.37.&#160;</b></p>
-<div class="equation-contents"><div class="mediaobject" align="center"><img src="../../../images/accumulators//form_68.png" align="middle"></div></div>
+<a name="idp100036656"></a><p class="title"><b>Equation&#160;1.37.&#160;</b></p>
+<div class="equation-contents"><div class="mediaobject" align="center"><img src="../../../images/accumulators//form_29.png" align="middle"></div></div>
</div>
<p><br class="equation-break"></p>
-<p>where <span class="inlinemediaobject"><img src="../../../images/accumulators//form_14.png"></span> are the <span class="inlinemediaobject"><img src="../../../images/accumulators//form_15.png"></span>-th moment and <span class="inlinemediaobject"><img src="../../../images/accumulators//form_16.png"></span> the mean (first moment) of the <span class="inlinemediaobject"><img src="../../../images/accumulators//form_17.png"></span> samples.</p>
+<p>where <span class="inlinemediaobject"><img src="../../../images/accumulators//form_30.png"></span> are the <span class="inlinemediaobject"><img src="../../../images/accumulators//form_31.png"></span>-th moment and <span class="inlinemediaobject"><img src="../../../images/accumulators//form_32.png"></span> the mean (first moment) of the <span class="inlinemediaobject"><img src="../../../images/accumulators//form_33.png"></span> samples.</p>
<p>The skewness estimator for weighted samples is formally identical to the estimator for unweighted samples, except that the weighted counterparts of all measures it depends on are to be taken. </p>
<div class="refsect2">
-<a name="idp118148752"></a><h3>
+<a name="idp100050000"></a><h3>
<a name="boost.accumulators.impl.weighted_skewness_implconstruct-copy-destruct"></a><code class="computeroutput">weighted_skewness_impl</code>
public
construct/copy/destruct</h3>
-<div class="orderedlist"><ol class="orderedlist" type="1"><li class="listitem"><pre class="literallayout"><a name="idp417474176-bb"></a><span class="identifier">weighted_skewness_impl</span><span class="special">(</span><span class="identifier">dont_care</span><span class="special">)</span><span class="special">;</span></pre></li></ol></div>
+<div class="orderedlist"><ol class="orderedlist" type="1"><li class="listitem"><pre class="literallayout"><a name="idp438991408-bb"></a><span class="identifier">weighted_skewness_impl</span><span class="special">(</span><span class="identifier">dont_care</span><span class="special">)</span><span class="special">;</span></pre></li></ol></div>
</div>
<div class="refsect2">
-<a name="idp118154480"></a><h3>
-<a name="idp417471184-bb"></a><code class="computeroutput">weighted_skewness_impl</code> public member functions</h3>
-<div class="orderedlist"><ol class="orderedlist" type="1"><li class="listitem"><pre class="literallayout"><span class="keyword">template</span><span class="special">&lt;</span><span class="keyword">typename</span> Args<span class="special">&gt;</span> <span class="identifier">result_type</span> <a name="idp417471680-bb"></a><span class="identifier">result</span><span class="special">(</span><span class="identifier">Args</span> <span class="keyword">const</span> <span class="special">&amp;</span> args<span class="special">)</span> <span class="keyword">const</span><span class="special">;</span></pre></li></ol></div>
+<a name="idp100056464"></a><h3>
+<a name="idp438988416-bb"></a><code class="computeroutput">weighted_skewness_impl</code> public member functions</h3>
+<div class="orderedlist"><ol class="orderedlist" type="1"><li class="listitem"><pre class="literallayout"><span class="keyword">template</span><span class="special">&lt;</span><span class="keyword">typename</span> Args<span class="special">&gt;</span> <span class="identifier">result_type</span> <a name="idp438988912-bb"></a><span class="identifier">result</span><span class="special">(</span><span class="identifier">Args</span> <span class="keyword">const</span> <span class="special">&amp;</span> args<span class="special">)</span> <span class="keyword">const</span><span class="special">;</span></pre></li></ol></div>
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@@ -74,7 +74,7 @@
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