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<a href="index.html" title="现代概念、方法和应用">广义线性混合模型</a>:
<small class="text-muted">现代概念、方法和应用</small>
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<li><a class="" href="index.html">译者序</a></li>
<li><a class="" href="%E6%89%89%E9%A1%B5.html">扉页</a></li>
<li><a class="active" href="%E7%9B%AE%E5%BD%95.html">目录</a></li>
<li><a class="" href="secpre.html">前言</a></li>
<li class="book-part">第一篇：基本背景</li>
<li><a class="" href="chap1.html"><span class="header-section-number">1</span> 建模基础</a></li>
<li><a class="" href="chap2.html"><span class="header-section-number">2</span> 设计要务</a></li>
<li><a class="" href="chap3.html"><span class="header-section-number">3</span> 搭建舞台</a></li>
<li><a class="" href="%E6%90%AD%E5%BB%BA%E8%88%9E%E5%8F%B0.html">►搭建舞台</a></li>
<li class="book-part">第二篇：估计和推断理论</li>
<li><a class="" href="chap4.html"><span class="header-section-number">4</span> GLMM 之前的估计和推断基础知识</a></li>
<li><a class="" href="chap5.html"><span class="header-section-number">5</span> GLMM 估计</a></li>
<li><a class="" href="chap6.html"><span class="header-section-number">6</span> 推断（一）</a></li>
<li><a class="" href="chap7.html"><span class="header-section-number">7</span> 推断（二）</a></li>
<li class="book-part">第三篇：应用</li>
<li><a class="" href="chap8.html"><span class="header-section-number">8</span> 处理和解释变量结构</a></li>
<li><a class="" href="chap9.html"><span class="header-section-number">9</span> 多水平模型</a></li>
<li class="book-part">—</li>
<li><a class="" href="bib.html">参考文献</a></li>
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<h1>目录<a class="anchor" aria-label="anchor" href="#%E7%9B%AE%E5%BD%95"><i class="fas fa-link"></i></a>
</h1>
<ul>
<li>
<a href="secpre.html#secpre">前言</a>
<ul>
<li><a href="secpre.html#secpre1">第一版前言</a></li>
<li><a href="#secpre2">第二版前言</a></li>
</ul>
</li>
</ul>
<p><br><strong>第一篇：基本背景</strong></p>
<ol style="list-style-type: decimal">
<li>
<a href="chap1.html#chap1">建模基础</a>
<ul>
<li>1.1 <a href="chap1.html#sec1-1">什么是模型</a>
<ul>
<li>1.1.1 <a href="chap1.html#sec1-1-1">两处理均值模型</a>
</li>
<li>1.1.2 <a href="chap1.html#sec1-1-2">线性回归模型</a>
</li>
<li>1.1.3 <a href="chap1.html#sec1-1-3">最终评注</a>
</li>
</ul>
</li>
<li>1.2 <a href="chap1.html#sec1-2">模型的替代形式</a>
<ul>
<li>1.2.1 <a href="chap1.html#sec1-2-1">两种线性预测器形式：单元格均值和效应</a>
</li>
<li>1.2.2 <a href="chap1.html#sec1-2-2">两种模型形式：模型方程和概率分布</a>
</li>
<li>1.2.3 <a href="chap1.html#sec1-2-3">说明模型方程形式缺点的转折</a>
</li>
<li>1.2.4 <a href="chap1.html#sec1-2-4">非高斯数据建模的替代方法——初始概念</a>
</li>
</ul>
</li>
<li>1.3 <a href="chap1.html#sec1-3">模型效应的类型</a>
<ul>
<li>1.3.1 <a href="chap1.html#sec1-3-1">分类与直接效应</a>
</li>
<li>1.3.2 <a href="chap1.html#sec1-3-2">固定与随机效应</a>
</li>
</ul>
</li>
<li>1.4 <a href="chap1.html#sec1-4">以矩阵形式编写模型</a>
<ul>
<li>1.4.1 <a href="chap1.html#sec1-4-1">仅固定效应模型</a>
</li>
<li>1.4.2 <a href="chap1.html#sec1-4-2">混合模型：具有固定效应和随机效应的模型</a>
</li>
</ul>
</li>
<li>1.5 <a href="chap1.html#sec1-5">小结：模型完整陈述的必要元素</a>
</li>
<li><a href="chap1.html#exe1">练习</a></li>
</ul>
</li>
<li><a href="chap2.html#chap2">设计要务</a></li>
<li><a href="chap3.html#chap3">搭建舞台</a></li>
</ol>
<p><br><strong>第二篇：估计和推断理论</strong></p>
<ol start="4" style="list-style-type: decimal">
<li><a href="chap4.html#chap4">GLMM 之前的估计和推断基础知识</a></li>
<li><a href="chap5.html#chap5">GLMM 估计</a></li>
<li><a href="chap6.html#chap6">推断（一）</a></li>
<li><a href="chap7.html#chap7">推断（二）</a></li>
</ol>
<p><br><strong>第三篇：应用</strong></p>
<ol start="8" style="list-style-type: decimal">
<li><a href="chap8.html#chap8">处理和解释变量结构</a></li>
<li><a href="chap9.html#chap9">多水平模型</a></li>
<li><a href="#chap10">最佳线性无偏预测</a></li>
<li><a href="#chap11">计数</a></li>
<li><a href="#chap12">率和比例</a></li>
<li><a href="#chap13">零膨胀和栅栏模型</a></li>
<li><a href="#chap14">多项数据</a></li>
<li><a href="#chap15">事件时间数据</a></li>
<li><a href="#chap16">平滑样条曲线和加性模型</a></li>
<li><a href="#chap17">相关数据（一）：重复测量</a></li>
<li><a href="#chap18">相关数据（二）：空间变异性</a></li>
<li><a href="#chap19">GLMM的贝叶斯实现</a></li>
<li><a href="#chap20">五个贝叶斯 GLMM 示例</a></li>
<li><a href="#chap21">精度、功效、样本量和计划</a></li>
</ol>
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<p>"<strong>广义线性混合模型</strong>: 现代概念、方法和应用" was written by Wang Zhen. It was last built on 2024-05-19.</p>
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