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4 changes: 2 additions & 2 deletions cour_note/D1CX_ProbabilityAndStatistics/Chap02/index.html
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Expand Up @@ -1406,7 +1406,7 @@ <h3 id="正态分布">正态分布<a class="headerlink" href="#正态分布" tit
\]</div>
<p>在上面出现的式子中,<span class="arithmatex">\(\mu\)</span><strong>位置参数</strong>,决定了分布图像的对称轴位置;<span class="arithmatex">\(\sigma\)</span><strong>尺度参数</strong>,决定了形状,<span class="arithmatex">\(\sigma\)</span> 越小,图像越集中。</p>
<hr/>
<p>特别的,当 <span class="arithmatex">\(\mu=0\;,\;\sigma=1\)</span> 时,如果记这时的正太变量为 <span class="arithmatex">\(Z\)</span>,即 <span class="arithmatex">\(Z\sim N(0,1)\)</span> 则它服从<strong>标准正态分布(standard normal distribution)</strong>。则其<strong>密度函数</strong>为:</p>
<p>特别的,当 <span class="arithmatex">\(\mu=0\;,\;\sigma=1\)</span> 时,如果记这时的正态变量为 <span class="arithmatex">\(Z\)</span>,即 <span class="arithmatex">\(Z\sim N(0,1)\)</span> 则它服从<strong>标准正态分布(standard normal distribution)</strong>。则其<strong>密度函数</strong>为:</p>
<div class="arithmatex">\[
\varphi(x)=\frac{1}{\sqrt{2\pi}}e^{-\frac{x^2}{2}}\;, \;\;\;|x|&lt;+\infty
\]</div>
Expand Down Expand Up @@ -1460,7 +1460,7 @@ <h2 id="随机变量函数的分布">随机变量函数的分布<a class="header
<small>

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6 changes: 3 additions & 3 deletions cour_note/D1CX_ProbabilityAndStatistics/Chap06/index.html
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Expand Up @@ -1252,7 +1252,7 @@
<article class="md-content__inner md-typeset">
<h1 id="6x-统计量与抽样分布">[6.x] 统计量与抽样分布<a class="headerlink" href="#6x-统计量与抽样分布" title="Permanent link"></a></h1>
<div style="margin-top: -30px; font-size: 0.75em; opacity: 0.7;">
<p><span class="twemoji"><svg viewbox="0 0 24 24" xmlns="http://www.w3.org/2000/svg"><path d="M12 2A10 10 0 0 0 2 12a10 10 0 0 0 10 10 10 10 0 0 0 10-10h-2a8 8 0 0 1-8 8 8 8 0 0 1-8-8 8 8 0 0 1 8-8V2m6.78 1a.69.69 0 0 0-.48.2l-1.22 1.21 2.5 2.5L20.8 5.7c.26-.26.26-.7 0-.95L19.25 3.2c-.13-.13-.3-.2-.47-.2m-2.41 2.12L9 12.5V15h2.5l7.37-7.38-2.5-2.5Z"></path></svg></span>1730 个字 <span class="twemoji"><svg viewbox="0 0 24 24" xmlns="http://www.w3.org/2000/svg"><path d="M12 20c4.42 0 8-3.58 8-8s-3.58-8-8-8-8 3.58-8 8 3.58 8 8 8m0-18c5.5 0 10 4.5 10 10s-4.5 10-10 10C6.47 22 2 17.5 2 12S6.5 2 12 2m.5 11H11V7h1.5v4.26l3.7-2.13.75 1.3L12.5 13Z"></path></svg></span> 预计阅读时间 9 分钟</p>
<p><span class="twemoji"><svg viewbox="0 0 24 24" xmlns="http://www.w3.org/2000/svg"><path d="M12 2A10 10 0 0 0 2 12a10 10 0 0 0 10 10 10 10 0 0 0 10-10h-2a8 8 0 0 1-8 8 8 8 0 0 1-8-8 8 8 0 0 1 8-8V2m6.78 1a.69.69 0 0 0-.48.2l-1.22 1.21 2.5 2.5L20.8 5.7c.26-.26.26-.7 0-.95L19.25 3.2c-.13-.13-.3-.2-.47-.2m-2.41 2.12L9 12.5V15h2.5l7.37-7.38-2.5-2.5Z"></path></svg></span>1732 个字 <span class="twemoji"><svg viewbox="0 0 24 24" xmlns="http://www.w3.org/2000/svg"><path d="M12 20c4.42 0 8-3.58 8-8s-3.58-8-8-8-8 3.58-8 8 3.58 8 8 8m0-18c5.5 0 10 4.5 10 10s-4.5 10-10 10C6.47 22 2 17.5 2 12S6.5 2 12 2m.5 11H11V7h1.5v4.26l3.7-2.13.75 1.3L12.5 13Z"></path></svg></span> 预计阅读时间 9 分钟</p>
</div>
<h2 id="基本概念">基本概念<a class="headerlink" href="#基本概念" title="Permanent link"></a></h2>
<ul>
Expand Down Expand Up @@ -1394,7 +1394,7 @@ <h2 id="正态总体下的抽样分布">正态总体下的抽样分布<a class="
<li><span class="arithmatex">\(\frac{\overline{X} - \mu}{S/\sqrt{n}}\sim t(n-1)\)</span></li>
<li>这里注意区别一下:<span class="arithmatex">\(\frac{\overline{X} - \mu}{\sigma/\sqrt{n}}\sim N(0,1)\)</span></li>
</ol>
<p><span class="arithmatex">\(X_1,X_2,...,X_n\)</span><span class="arithmatex">\(Y_1,Y_2,...,Y_n\)</span> 是分别来自正态总体 <span class="arithmatex">\(N(\mu_1,\sigma_1^2)\)</span><span class="arithmatex">\(N(\mu_2,\sigma_2^2)\)</span>,并且它们相互独立,<span class="arithmatex">\(\overline{X},\overline{Y}\)</span> 是样本均值,<span class="arithmatex">\(S_1^2,S_2^2\)</span> 是样本方差,则有:</p>
<p><span class="arithmatex">\(X_1,X_2,...,X_{n_1}\)</span><span class="arithmatex">\(Y_1,Y_2,...,Y_{n_2}\)</span> 是分别来自正态总体 <span class="arithmatex">\(N(\mu_1,\sigma_1^2)\)</span><span class="arithmatex">\(N(\mu_2,\sigma_2^2)\)</span>,并且它们相互独立,<span class="arithmatex">\(\overline{X},\overline{Y}\)</span> 是样本均值,<span class="arithmatex">\(S_1^2,S_2^2\)</span> 是样本方差,则有:</p>
<ol>
<li><span class="arithmatex">\(\frac{S_1^2/\sigma_1^2}{S_2^2/\sigma^2_2}\sim F(n_1-1,n_2-1)\)</span></li>
<li><span class="arithmatex">\(\frac{(\overline{X}-\overline{Y})-(\mu_{1}-\mu_{2})}{\sqrt{\frac{\sigma_{1}^{2}}{n_1}+\frac{\sigma_{2}^{2}}{n_2}}} \sim N(0,1)\)</span></li>
Expand All @@ -1406,7 +1406,7 @@ <h2 id="正态总体下的抽样分布">正态总体下的抽样分布<a class="
<small>

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6 changes: 3 additions & 3 deletions cour_note/D1CX_ProbabilityAndStatistics/Chap07/index.html
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Expand Up @@ -1354,7 +1354,7 @@ <h3 id="极大似然法">极大似然法<a class="headerlink" href="#极大似
</ul>
<p>极大似然估计法的性质:</p>
<ul>
<li>不变原则:设参数 <span class="arithmatex">\(\theta\)</span> 的极大似然估计为 <span class="arithmatex">\(\hat\theta\)</span> <span class="arithmatex">\(g(\cdot)\)</span> 为连续函数,则 <span class="arithmatex">\(g(\theta)\)</span> 的极大似然估计为 <span class="arithmatex">\(g(\hat{\theta})\)</span></li>
<li>不变原则:设参数 <span class="arithmatex">\(\theta\)</span> 的极大似然估计为 <span class="arithmatex">\(\hat\theta\)</span><span class="arithmatex">\(g(\cdot)\)</span> 为连续函数,则 <span class="arithmatex">\(g(\theta)\)</span> 的极大似然估计为 <span class="arithmatex">\(g(\hat{\theta})\)</span></li>
</ul>
<h2 id="估计量的评价准则">估计量的评价准则<a class="headerlink" href="#估计量的评价准则" title="Permanent link"></a></h2>
<h3 id="无偏性准则">无偏性准则<a class="headerlink" href="#无偏性准则" title="Permanent link"></a></h3>
Expand Down Expand Up @@ -1387,7 +1387,7 @@ <h2 id="区间估计">区间估计<a class="headerlink" href="#区间估计" tit
<li>置信下限和置信上限:分别是 <span class="arithmatex">\(\theta_{L}\)</span><span class="arithmatex">\(\theta_{U}\)</span></li>
<li>置信度(置信水平):<span class="arithmatex">\(1-\alpha\)</span></li>
<li>单侧置信区间:在置信区间的定义中,如果修改为 <span class="arithmatex">\(P\{ \theta_{L}(X_1,X_2,...,X_n) &lt; \theta \}\geq 1-\alpha \;\;,\;\; \forall \theta \in \Theta\)</span>,则称随机区间 <span class="arithmatex">\([\theta_{L},+\infty]\)</span><span class="arithmatex">\(\theta\)</span> 的置信水平为 <span class="arithmatex">\(1-\alpha\)</span><strong>单侧置信区间</strong><ul>
<li>相应地,我们还可以定义单侧置信下限,以及具有单侧置信上限的单侧置信区间 <span class="arithmatex">\((-\infty,\theta_{U})\)</span></li>
<li>相应地,我们还可以定义单侧置信上限,以及具有单侧置信上限的单侧置信区间 <span class="arithmatex">\((-\infty,\theta_{U})\)</span></li>
</ul>
</li>
</ul>
Expand Down Expand Up @@ -1460,7 +1460,7 @@ <h2 id="非正态总体参数的区间估计">非正态总体参数的区间估
<small>

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8 changes: 5 additions & 3 deletions cour_note/D1CX_ProbabilityAndStatistics/index.html
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<article class="md-content__inner md-typeset">
<h1 id="-概率论与数理统计">💎 概率论与数理统计<a class="headerlink" href="#-概率论与数理统计" title="Permanent link"></a></h1>
<div style="margin-top: -30px; font-size: 0.75em; opacity: 0.7;">
<p><span class="twemoji"><svg viewbox="0 0 24 24" xmlns="http://www.w3.org/2000/svg"><path d="M12 2A10 10 0 0 0 2 12a10 10 0 0 0 10 10 10 10 0 0 0 10-10h-2a8 8 0 0 1-8 8 8 8 0 0 1-8-8 8 8 0 0 1 8-8V2m6.78 1a.69.69 0 0 0-.48.2l-1.22 1.21 2.5 2.5L20.8 5.7c.26-.26.26-.7 0-.95L19.25 3.2c-.13-.13-.3-.2-.47-.2m-2.41 2.12L9 12.5V15h2.5l7.37-7.38-2.5-2.5Z"></path></svg></span>164 个字 <span class="twemoji"><svg viewbox="0 0 24 24" xmlns="http://www.w3.org/2000/svg"><path d="M12 20c4.42 0 8-3.58 8-8s-3.58-8-8-8-8 3.58-8 8 3.58 8 8 8m0-18c5.5 0 10 4.5 10 10s-4.5 10-10 10C6.47 22 2 17.5 2 12S6.5 2 12 2m.5 11H11V7h1.5v4.26l3.7-2.13.75 1.3L12.5 13Z"></path></svg></span> 预计阅读时间 1 分钟</p>
<p><span class="twemoji"><svg viewbox="0 0 24 24" xmlns="http://www.w3.org/2000/svg"><path d="M12 2A10 10 0 0 0 2 12a10 10 0 0 0 10 10 10 10 0 0 0 10-10h-2a8 8 0 0 1-8 8 8 8 0 0 1-8-8 8 8 0 0 1 8-8V2m6.78 1a.69.69 0 0 0-.48.2l-1.22 1.21 2.5 2.5L20.8 5.7c.26-.26.26-.7 0-.95L19.25 3.2c-.13-.13-.3-.2-.47-.2m-2.41 2.12L9 12.5V15h2.5l7.37-7.38-2.5-2.5Z"></path></svg></span>200 个字 <span class="twemoji"><svg viewbox="0 0 24 24" xmlns="http://www.w3.org/2000/svg"><path d="M12 20c4.42 0 8-3.58 8-8s-3.58-8-8-8-8 3.58-8 8 3.58 8 8 8m0-18c5.5 0 10 4.5 10 10s-4.5 10-10 10C6.47 22 2 17.5 2 12S6.5 2 12 2m.5 11H11V7h1.5v4.26l3.7-2.13.75 1.3L12.5 13Z"></path></svg></span> 预计阅读时间 1 分钟</p>
</div>
<div class="admonition info">
<p class="admonition-title">课程信息</p>
Expand All @@ -1127,6 +1127,8 @@ <h1 id="-概率论与数理统计">💎 概率论与数理统计<a class="header
<li><strong>教材</strong>:《概率论与数理统计》,张帼奋,高等教育出版社</li>
<li><strong>辅助教材</strong>:《概率论与数理统计教程 第三版》,茆诗松,高等教育出版社(后简称橙书)</li>
</ul>
<p>本笔记经 <a href="https://github.com/MinJoker" target="_blank">@MinJoker</a> 补充和完善。<br/>
更多数逻相关的知识与思考欢迎移步 <a href="https://minjoker.github.io/math/probability/probability_statistics/" target="_blank">MinJoker's Notebook</a></p>
</div>
<div class="admonition note">
<p class="admonition-title">Notes</p>
Expand All @@ -1138,15 +1140,15 @@ <h1 id="-概率论与数理统计">💎 概率论与数理统计<a class="header
<li class="task-list-item"><label class="task-list-control"><input checked="" disabled="" type="checkbox"><span class="task-list-indicator"></span></input></label> <a href="Chap05/">[5.x] 大数定律及中心极限定理</a></li>
<li class="task-list-item"><label class="task-list-control"><input checked="" disabled="" type="checkbox"><span class="task-list-indicator"></span></input></label> <a href="Chap06/">[6.x] 统计量与抽样分布</a></li>
<li class="task-list-item"><label class="task-list-control"><input checked="" disabled="" type="checkbox"><span class="task-list-indicator"></span></input></label> <a href="Chap07/">[7.x] 参数估计</a></li>
<li class="task-list-item"><label class="task-list-control"><input checked="" disabled="" type="checkbox"><span class="task-list-indicator"></span></input></label> <a href="Chap08/">[8.x] 假设检验</a></li>
<li class="task-list-item"><label class="task-list-control"><input checked="" disabled="" type="checkbox"><span class="task-list-indicator"></span></input></label> <a href="Chap08/">[8.x] 假设检验</a>(未完善)</li>
</ul>
</div>
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28 changes: 2 additions & 26 deletions cour_note/D2QD_DigitalDesign/Chap03/index.html
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<a class="md-nav__link" href="#二进制减法">
二进制减法
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Expand All @@ -1468,7 +1450,7 @@
<article class="md-content__inner md-typeset">
<h1 id="chap-3-combinational-logic-design">Chap 3 Combinational Logic Design<a class="headerlink" href="#chap-3-combinational-logic-design" title="Permanent link"></a></h1>
<div style="margin-top: -30px; font-size: 0.75em; opacity: 0.7;">
<p><span class="twemoji"><svg viewbox="0 0 24 24" xmlns="http://www.w3.org/2000/svg"><path d="M12 2A10 10 0 0 0 2 12a10 10 0 0 0 10 10 10 10 0 0 0 10-10h-2a8 8 0 0 1-8 8 8 8 0 0 1-8-8 8 8 0 0 1 8-8V2m6.78 1a.69.69 0 0 0-.48.2l-1.22 1.21 2.5 2.5L20.8 5.7c.26-.26.26-.7 0-.95L19.25 3.2c-.13-.13-.3-.2-.47-.2m-2.41 2.12L9 12.5V15h2.5l7.37-7.38-2.5-2.5Z"></path></svg></span> 约 4252 个字 <span class="twemoji"><svg viewbox="0 0 640 512" xmlns="http://www.w3.org/2000/svg"><!--! Font Awesome Free 6.2.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2022 Fonticons, Inc.--><path d="M392.8 1.2c-17-4.9-34.7 5-39.6 22l-128 448c-4.9 17 5 34.7 22 39.6s34.7-5 39.6-22l128-448c4.9-17-5-34.7-22-39.6zm80.6 120.1c-12.5 12.5-12.5 32.8 0 45.3l89.3 89.4-89.4 89.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l112-112c12.5-12.5 12.5-32.8 0-45.3l-112-112c-12.5-12.5-32.8-12.5-45.3 0zm-306.7 0c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3l112 112c12.5 12.5 32.8 12.5 45.3 0s12.5-32.8 0-45.3L77.3 256l89.4-89.4c12.5-12.5 12.5-32.8 0-45.3z"></path></svg></span> 7 行代码 <span class="twemoji"><svg viewbox="0 0 24 24" xmlns="http://www.w3.org/2000/svg"><path d="M12 20c4.42 0 8-3.58 8-8s-3.58-8-8-8-8 3.58-8 8 3.58 8 8 8m0-18c5.5 0 10 4.5 10 10s-4.5 10-10 10C6.47 22 2 17.5 2 12S6.5 2 12 2m.5 11H11V7h1.5v4.26l3.7-2.13.75 1.3L12.5 13Z"></path></svg></span> 预计阅读时间 21 分钟</p>
<p><span class="twemoji"><svg viewbox="0 0 24 24" xmlns="http://www.w3.org/2000/svg"><path d="M12 2A10 10 0 0 0 2 12a10 10 0 0 0 10 10 10 10 0 0 0 10-10h-2a8 8 0 0 1-8 8 8 8 0 0 1-8-8 8 8 0 0 1 8-8V2m6.78 1a.69.69 0 0 0-.48.2l-1.22 1.21 2.5 2.5L20.8 5.7c.26-.26.26-.7 0-.95L19.25 3.2c-.13-.13-.3-.2-.47-.2m-2.41 2.12L9 12.5V15h2.5l7.37-7.38-2.5-2.5Z"></path></svg></span> 约 4237 个字 <span class="twemoji"><svg viewbox="0 0 640 512" xmlns="http://www.w3.org/2000/svg"><!--! Font Awesome Free 6.2.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2022 Fonticons, Inc.--><path d="M392.8 1.2c-17-4.9-34.7 5-39.6 22l-128 448c-4.9 17 5 34.7 22 39.6s34.7-5 39.6-22l128-448c4.9-17-5-34.7-22-39.6zm80.6 120.1c-12.5 12.5-12.5 32.8 0 45.3l89.3 89.4-89.4 89.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l112-112c12.5-12.5 12.5-32.8 0-45.3l-112-112c-12.5-12.5-32.8-12.5-45.3 0zm-306.7 0c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3l112 112c12.5 12.5 32.8 12.5 45.3 0s12.5-32.8 0-45.3L77.3 256l89.4-89.4c12.5-12.5 12.5-32.8 0-45.3z"></path></svg></span> 7 行代码 <span class="twemoji"><svg viewbox="0 0 24 24" xmlns="http://www.w3.org/2000/svg"><path d="M12 20c4.42 0 8-3.58 8-8s-3.58-8-8-8-8 3.58-8 8 3.58 8 8 8m0-18c5.5 0 10 4.5 10 10s-4.5 10-10 10C6.47 22 2 17.5 2 12S6.5 2 12 2m.5 11H11V7h1.5v4.26l3.7-2.13.75 1.3L12.5 13Z"></path></svg></span> 预计阅读时间 21 分钟</p>
</div>
<div class="admonition info">
<p class="admonition-title">引入</p>
Expand Down Expand Up @@ -1868,17 +1850,11 @@ <h3 id="二进制减法">二进制减法<a class="headerlink" href="#二进制
<p>其中加一这一步恰好可以通过在加法器中必定为 <code>0</code><span class="arithmatex">\(C_0\)</span> 来实现。我们在输入中添加异或门来实现反码(1's complement),再用 <span class="arithmatex">\(C_0\)</span> 实现加一,从而得到补码(2's complement),就样就可以实现加减法器。</p>
<p><a class="glightbox" data-desc-position="bottom" data-height="auto" data-width="100%" href="../img/78.png"><img alt="" src="../img/78.png"/></a></p>
<hr/>
<h4 id="有符号数的表示与计算">有符号数的表示与计算<a class="headerlink" href="#有符号数的表示与计算" title="Permanent link"></a></h4>
<ul class="task-list">
<li class="task-list-item"><label class="task-list-control"><input disabled="" type="checkbox"><span class="task-list-indicator"></span></input></label> TODO: 补充这里。</li>
</ul>
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<hr/>
<div class="md-source-file">
<small>

最后更新:
<span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-datetime">2024年1月13日 19:00:24</span>
<span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-datetime">2024年1月18日 13:13:24</span>
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创建日期:
<span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-datetime">2024年1月13日 19:00:24</span>
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