diff --git a/.github/workflows/quarto-book-netlify.yaml b/.github/workflows/quarto-book-netlify.yaml index f4d2fcd..ffd4506 100644 --- a/.github/workflows/quarto-book-netlify.yaml +++ b/.github/workflows/quarto-book-netlify.yaml @@ -13,7 +13,7 @@ concurrency: group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} cancel-in-progress: true -name: Render and deploy Book to Netlify +name: Render and deploy Book env: isExtPR: ${{ github.event.pull_request.head.repo.fork == true }} @@ -116,15 +116,13 @@ jobs: CMDSTAN: /opt/cmdstan/cmdstan-${{ env.CMDSTAN_VERSION }} - name: Deploy book to bookdown.org - if: contains(env.isExtPR, 'false') env: CONNECT_API_KEY: ${{ secrets.RSC_BOOKDOWN_TOKEN }} CONTENT_ID: ${{ secrets.RSC_BOOKDOWN_APP_ID }} run: | Rscript '_deploy.R' - - name: Deploy to Netlify - if: contains(env.isExtPR, 'false') + - name: Deploy book to Netlify id: netlify-deploy uses: nwtgck/actions-netlify@v2 with: diff --git a/notations.qmd b/notations.qmd index 6d65493..941b7e5 100644 --- a/notations.qmd +++ b/notations.qmd @@ -1,4 +1,4 @@ -# 数学符号 {#sec-math-notations} +# 符号约定 {#sec-math-notations} ::: hidden $$ @@ -50,30 +50,36 @@ $$ 下表给出本书用到的一些统计术语的英文缩写。 -| 统计术语 | 英文缩写 | -|----------------------|----------| -| 最小二乘估计 | LSE | -| 极大似然估计 | MLE | -| 最佳线性无偏估计 | BLUE | -| 最小方差无偏估计 | MVUE | -| 一致最小方差无偏估计 | UMVUE | -| 最小范数二次无偏估计 | MINQUE | -| 普通最小二乘估计 | OLS | -| 偏最小二乘估计 | PLS | -| 广义最小二乘估计 | GLS | -| 带权最小二乘估计 | WLS | -| Lasso 估计 | LASSO | -| 均方误差 | MSE | -| 均方根误差 | RMSE | -| 平均绝对误差 | MAE | -| 惩罚拟似然 | PQL | -| 剖面极大似然 | PML | -| 限制极大似然 | REML | -| 线性模型 | LM | -| 广义线性模型 | GLM | -| 广义可加模型 | GAM | -| 线性混合效应模型 | LMM | -| 广义线性混合效应模型 | GLMM | -| 广义可加混合效应模型 | GAMM | +| 统计术语 | 英文 | 英文缩写 | +|------------------------|------------------------|------------------------| +| 最小二乘估计 | Least Squares Estimator | LSE | +| 极大似然估计 | Maximum Likelihood Estimation | MLE | +| 最佳线性无偏估计 | Best Linear Unbaised Estimator | BLUE | +| 最小方差无偏估计 | Minimum-Variance Unbiased Estimator | MVUE | +| 一致最小方差无偏估计 | Uniformly Minimum-Variance Unbiased Estimator | UMVUE | +| 最小范数二次无偏估计 | Minimum Norm Quadratic Unbiased Estimator | MINQUE | +| 普通最小二乘估计 | Ordinary Least Squares Estimator | OLS | +| 偏最小二乘估计 | Partial Least Squares Estimator | PLS | +| 广义最小二乘估计 | Generalized Least Squares Estimator | GLS | +| 带权最小二乘估计 | Weighted Least Squares Estimator | WLS | +| 迭代再加权最小二乘 | Iteratively Reweighted Least Squares | IRLS | +| 最小绝对收缩和选择算子 | Least Absolute Shrinkage and Selection Operator | LASSO | +| 均方误差 | Mean Squared Error | MSE | +| 均方根误差 | Root Mean Squared Error | RMSE | +| 平均绝对误差 | Mean Absolute Error | MAE | +| 最小绝对误差 | Least Absolute Error | LAE | +| 惩罚拟似然 | Penalized Quasi-Likelihood | PQL | +| 剖面极大似然 | Profile Maximum Likelihood | PML | +| 限制极大似然 | REstricted Maximum Likelihood | REML | +| 广义估计方程 | Generalized Estimating Equation | GEE | +| 线性模型 | Linear Models | LM | +| 广义线性模型 | Generalized Linear Models | GLM | +| 广义可加模型 | Generalized Additive Models | GAM | +| 线性混合效应模型 | Linear Mixed-Effects Models | LMM | +| 非线性混合效应模型 | Nonlinear Mixed-Effects Models | NLME | +| 广义线性混合效应模型 | Generalized Linear Mixed-Effects Models | GLMM | +| 广义可加混合效应模型 | Generalized Additive Mixed-Effects Models | GAMM | +| 集成嵌套拉普拉斯 | Integrated Nested Laplace approximation | INLA | +| 马尔可夫链蒙特卡洛 | Markov Chain Monte Carlo | MCMC | : 统计术语的英文缩写 {#tbl-stats-acronym}