均匀设计 variable screen 变量筛选 variance 方差 variance inflation factor 方差澎涨因子 variation 变异 variation index 变异指标 W test W检验 weibull distribution 图尔 weight 权重 weighted linear regression 加权直线回归 Wilks'lambda statistic Wilks' lambda统计量 Youden square design 尧敦方设计©...
For each quantile, this problem is framed as a weighted linear regression quantile problem that is solved for the conditional quantiles of a generalization of the Kaplan-Meier estimate. Peng and Huang (2008) developed a censored quantile regression approach based on the Nelson-Aalen estimator of ...
对数线性模型 log-linear model 对照组 control group 对数线性模型 logarithm line model 半数有效量 median effective dose (ED50) 对数变换 logarithmic transformation 半数致死量 median lethal dose (LD50) 加权直线回归 weighted linear regression 平均指标 average index 平均数 average 生存分析 survival analysis...
Provides weighted analysis and grouped analysis. Statistical process control: Perform Shewhart control chart analysis. Analyze multiple process variables to identify processes that are out of statistical control. Adjust control limits to compensate for unequal subgroup sizes. ...
Weighted Least Squares Regression - Weighted by Weight for y from WLS, MOD_2 x** -1.500 Sig. .026 .000 由上述表可得,在 m 1.5 时对数似然函数达到最大,则幂指数的最优取值为 m 1.5 。加权后的回归方程为: yˆw 0.683 0.004x 。 计算加权后的残差,并对残差绝对值和自变量做等级相关系数分析,...
SAS-6 返回总目录 目 录 第31章 一般线性模型统计程序PROC GLM (3)31.1 PROC GLM 程序概述 (3)31.2 统 计 模 型 (3)31.3 如何撰写 PROC GLM 程序 (4)31.4 用 PROC GLM 执行回归分析 (20)31.5 用PROC GLM 执行单变量变异数分析 (20)31.6 用PROC GLM 程序执行多变量变异数分析...
absence rate缺勤率 absolute number绝对数 absolute value绝对值 accident error偶然误差 accumulated frequency累积频数 alternative hypothesis备择假设 analysis of data分析资料 analysis of variance(ANOVA)方差分析 arith-log paper算术对数纸 arithmetic mean算术均数 assumed mean假定均数 arithmetic weighted mean加权算术...
20180801 SAS SBA 95% 最新机经 1 没考 2 变形题 题干变为:training data set 的median imputation 怎样用于validation data set。四个选项变成: A. median imputation 用training data 和validation data 重新计算,再用于validation data set.B. median imputation 用validation data 重新计算,再用于validation ...
4. Computes a weighted regression to the model prediction by using the SHAP kernel, where the weights are calculated by the f ollowing equation, where is the number of variables and | | is the number of 1's in the row of the transformed data: ℎ = ( −1) , ( ℎ | |)∗...
Calculates the baseline/intercept using weighted linear regression that minimizes the weighted squared residual with all the new generated data See the SAS Documentation for an example. HyperSHAP The HyperSHAP method—a SAS-proprietary Shapley value approximation method—is implemented by the shapley...