STATA 12新特征
Structural equation modeling (SEM) 结构方程模型（SEM）
Path diagrams路径图
Graphical model builder图形模型生成器
Standardized and unstandardized estimates标准化和非标准化估计
Modification indices修改指数
Direct and indirect effects直接和间接影响
Score tests and Wald tests分数测试和Wald检验
Factors scores and other predictions因子的得分和其他预测
Goodness of fit拟合优度
Estimation with groups and tests of invariance估计与团体和不变性测试
Survey data and clustered data调查数据和聚集数据
Raw or statistical summary data原料或统计汇总数据
FIML estimation with missing at random (MAR) data FIML估计与随机（MAR）的数据丢失
Maximum likelihood, ADF, and GMM estimation最大的可能性，ADF和GMM估计
Flexible extension of multivariate regression, instrumental variables, and simultaneous systems多元回归法，工具变量，同时系统灵活的扩展
Confirmatory factor analysis (CFA), correlated uniqueness models,验证性因素分析（CFA），相关的独特模式，
latent growth models, multiple indicators and multiple causes (MIMIC)潜在的增长模式，多个指标和多种原因（MIMIC）
Multiple imputation 多归集
Chained equations链式方程
Conditional imputation有条件的归集
Survey support调查支持
Impute separately within groups意指分别在组内
Linear and nonlinear predictions线性和非线性预测
Measure simulation error测量模拟误差
Panel data and multilevel models面板数据，多层次的模型
Impute continuous, ordinal, cardinal, and count variables意指持续，有序，枢机主教，和计数变量
Contour plots 等高线图
Excel import/export Excel导入/导出
Preview tool预览工具
Adjust import based on preview调整进口的基础上预览
More data management: ODBC connections strings, EBCDIC, rename groups of variables更多的数据管理：ODBC连接字符串，EBCDIC，重命名的变量组
Automatic memory management 自动内存管理
Automatically adjusts to dataset size自动调整到数据集的大小
Tunable可调
Up to 1 terabyte of memory高达1 TB的内存容量
Interface 接口
Manage variables, storage types, notes, and formats without leaving the main interface管理不留在主界面的变量的存储类型，票据，和格式
Select variables using filters使用过滤器的选择变量
Filter prior commands and search results过滤前命令和搜索结果
Tabbed Viewer卡式查看器
Jump to dialogs, related commands, and sections in the online help跳转到对话框中，相关的命令和联机帮助中的的部分
Hide, show, reorder, and filter variables in the Data Editor隐藏，显示，重新排列，过滤器变量和数据编辑器
Preview before pasting data前预览粘贴数据
PDF export of results and graphs PDF导出的结果和图形
Installation Qualification 安装认证
Downloadable tool下载工具
Report for submission to regulatory agencies向监管机构提交的报告
Stata/MP 的Stata / MP
More estimators更多的估计
Up to 64 cores多达64个内核
Contrasts 对比
Compare reference or adjacent categories比较基准或相邻类别
Compare to grand mean比较隆重意味着
Orthogonal polynomials正交多项式
Treatment effects治疗效果
Pairwise comparisons 两两比较
Compare means, intercepts, or slopes比较手段，截取或斜坡
Compare odds ratios比较的比值比
Bonferroni, Scheffé, Tukey, Dunnett, and other adjustments Bonferroni，薛费，杜克，Dunnett和其他调整
Margins plots 边距地块
Profile and interaction plots简介和互动图
Margins, contrasts, and pairwise comparisons边距，对比，和两两比较
Potential outcomes可能的结果
Comparative graphs比较图
ROC analysis ROC分析
Parametric and nonparametric参数和非参数
Adjustments for covariates协变量调整
Case-control regression models病例对照回归模型
Bootstrap and model-based SEs引导和模型基于社企
Area under the curve (AUC) and partial AUC曲线下面积（AUC）区和部分的AUC
Multilevel mixed-effects models 多级混合效应模型
Complex survey data复杂的调查数据
Frequency and sampling weights频率和采样的重量
Robust and clustered SEs乐百氏和集群社企
Weighting at each level在每个级别的加权
Residual covariance structures: exponential, banded, and Toeplitz剩余的协方差结构：指数，条带状，并Toeplitz算
Unobserved components model (UCM) 未观察到的组件模型（UCM）
Trend, seasonal, and cyclical components趋势，季节性和周期性组件
Static and dynamic forecasts of components组件的静态和动态预测
Stochastic cycles随机周期
ARFIMA ARFIMA
Long-memory processes长期记忆过程
Fractional integration分数整合
Robust variance estimates强大的方差估计
Static and dynamic forecasts静态和动态的预测
Linear constraints线性约束
Multivariate GARCH 多变量GARCH
Constant conditional correlations (CCC)有条件的相关常数（CCC认证）
Dynamic conditional correlations (DCC)动态条件相关（DCC），
Varying conditional correlations (VCC) （VCC），有条件的相关变
Multivariate normal and Students't errors多元的正常和Students't错误
Robust variance estimates强大的方差估计
Level and variance predictions级别和方差预测
Static and dynamic forecasts静态和动态的预测
Spectral density 谱密度
Parametric estimates after ARIMA, ARFIMA, and UCM参数估计后，华宇，ARFIMA和UCM
Assess importance of frequencies评估的频率的重要性
Time-series filters 时间序列过滤器
Trading days交易日
User definable用户可定义
Lags and leads using business days滞后和信息使用工作日
Conversions from standard calendar从标准日历的转换
More 更多
General statistics: functions for Tukey's Studentized range and Dunnett's multiple range, baseline odds for logistic regression, ...一般统计：Tukey的学生化的范围和Dunnett的多个范围，logistic回归基线赔率，功能...
Survey data: support for SEM, bootstrap and successive difference replicate (SDR) weights, goodness of fit after binary models, coefficient of variation,调查数据显示：支持扫描电镜，引导和连续的区别复制（SDR）的重量，后二进制模型的拟合优度，变异系数，
Count data: truncated count-data regressions, probability predictions, robust and cluster-robust SEs for fixed-effects Poisson regression, ...统计数据：截断计数数据回归，概率预测，健壮和强大的集群固定效应泊松回归，SES ...
Panel data: probability predictions, multiple imputation support, ...面板数据：概率的预测，多归集支持，...
Survival data: goodness-of-fit statistic that is robust to censoring生存资料：善良的拟合统计，鲁棒性审查
扫码加好友，拉您进群
全部版块
我的主页
收藏
