描述与探索性数据分析
72 种方法属于此方法族。
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经调整的箱线图（Adjusted Boxplot）The Adjusted Boxplot is a robust descriptive tool introduced by Hubert and Vandervieren (2008) that corrects the classical IQR-based boxplot for skewness using the medcouple statis属性控制图 (p, np, c, u)Attributes control charts extend Shewhart's framework to count and proportion data — quality characteristics that are classified rather than measured. The p- and np-charts monitor Bland-Altman 方法一致性分析The Bland-Altman analysis is a graphical and statistical technique for assessing agreement between two measurement methods applied to the same subjects. Introduced by J. Martin Bla断点分析Breakdown point analysis quantifies the fraction of outliers an estimator can tolerate before it produces meaningless results. Formalised by Hampel (1971) and Donoho and Huber (198变化点检测 (PELT)Change-Point Detection identifies time points at which the statistical properties of a sequence — such as mean, variance, or distribution — shift abruptly. The Pruned Exact Linear 聚类分析Cluster analysis is a family of unsupervised multivariate techniques that partition a set of objects or observations into internally homogeneous, mutually distinct groups — cluster
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全部方法 72
经调整的箱线图（Adjusted Boxplot）属性控制图 (p, np, c, u)Bland-Altman 方法一致性分析断点分析变化点检测 (PELT)聚类分析聚类稳健标准误成分数据分析 (CoDA)置信区间计划对比分析交叉分类分析CUSUM 控制图描述性统计效应量效应量分析等效性检验（TOSTEWMA ChartFleiss Kappa多评分者一致性系数Fligner-Killeen 方差齐性检验频率分析零值模型（Hurdle Model）核密度估计与分布检验 (KDE)Levene 和 Brown-Forsythe 方差齐性检验Lilliefors 正态性检验中位数绝对离差 (MAD) 估计最大似然估计多变量CUSUM控制图（MCUSUM Chart）MEWMA控制图缺失数据机制：MCAR、MAR与MNAR调节中介分析Mood's Median Test多重比较问题多元回归分析零假设检验P值与统计显著性Page's L 检验有序备择假设知觉与偏好映射功效分析比例检验的功效分析过程能力分析 (Cp, Cpk)双比例z检验发表偏倚鲁棒聚类分析 (TCLUST)稳健联合分析稳健协方差估计 (MCD)稳健描述性统计稳健效应量分析稳健频率分析鲁棒层次聚类鲁棒 K-均值聚类稳健的马氏距离稳健中介分析稳健有调节的中介分析鲁棒主成分分析 (RPCA)稳健功效分析稳健 ROC 分析ROC分析（受试者工作特征）Wald-Wolfowitz 游程检验敏感度与特异度顺序分析（分组顺序设计）夏皮罗-威尔克正态性检验休哈特变量控制图（X-bar / R）基于仿真的功效分析（蒙特卡洛功效）Sn和Qn稳健尺度估计量Somers' D统计功效与样本量Thurstone Scaling双样本柯尔莫哥洛夫-斯米尔诺夫检验I类错误与II类错误Unfolding Model范德瓦尔登正态分数检验温莎化估计