| 统计方法 | 摘要 | 描述 | 方差 | 轮廓 | 得分 | 预测 | 聚类 | 所在模块 |
| ANOVA Models(单因素方差分析:简单因子) |
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AREG (评估从一个时间点到下一个时间点回归相关时的误差) |
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| ARIMA (季节和非季节性单变量模型的极大似然估计) |
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Binary logistic regression(二元逻辑斯蒂回归,对一组独立变量进行二分相关变量回归) |
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Bivariate (Correlate) (二变量相关) |
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CHAID (χ2 Automatic Interaction Detector,卡方自动交互检测),一种快速多维树型统计算法 |
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AnswerTree |
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Cluster (聚类) |
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| Confirmatory Factor Analysis (因子分析) |
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Amos |
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Conjoint(联合分析,分析得分或等级数据,估计因素的局部价值) |
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Constrained nonlinear regression (受约束非线性回归) |
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Correspondence (对应) |
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Cox Regression (Cox回归) |
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Crosstabs (交叉表) |
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Curvefit (曲线拟和) |
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Descriptive (summarize)(描述分析-摘要) |
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DISCRIMINANT (判断) |
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Explore (Summarize) (探测-摘要) |
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EXSMOOTH (指数平滑方法,用于对多至4个参数进行评估,12种可用模型) |
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Factor Analysis (因子分析) |
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Fit (拟和) |
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Frequencies (频数) |
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GENLOG (Generalized liner models,广义线性模型) |
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GLM (General liner models,通用线性模型) |
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HILOGLINEAR (多为列联表的Hieararchical loglinear模型,) |
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HOMALS (通过交叉最小平方进行齐性分析,多重响应分析) |
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Kaplan-Meier (评估事件的时间长度) |
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Linear Regression (线性回归) |
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LOGLINEAR (多维列联表通用模型) |
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Means (Compare means)(均值-均值比较) |
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Modeling Statistics (模型统计) |
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Multidimensional Scaling (ASCAL) (多维尺度) |
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Multinomial Logistic Regression (多项逻辑斯蒂回归) |
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Multiple response (多重响应) |
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Nonparametric tests (非参数检验) |
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SPSS Base | ||||
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Oneway ANOVA (单因素方差分析) |
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Ordinal logistic regression (序数逻辑斯蒂回归) |
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GOLDMineR |
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ORTHOPLAN (正交设计) |
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OVERALS (多组变量的非线性正规相关) |
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Partial (Correlate) (偏相关) |
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PLANCARDS (生成试验的计划卡) |
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Probit (正规偏差值,响应分析和相应模型,LOGIT响应模型) |
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Proximities (亲近性) |
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Quick Cluster (快速聚类) |
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Reliability (可靠性) |
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Report Summaries (报告摘要) |
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SEASON (季节分析,周期性时间序列加法或乘法季节性因素评估) |
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SEM (Structural equation modeling,结构化方程模型) |
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Amos |
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Spectra (频谱,把时间序列分解为谐波元素) |
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Survival (生存分析,生命表分析) |
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t-tests (t检验) |
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Two-stage least squares (二阶最小平方) |
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Unconstrained nonlinear regression (无约束非线性回归) |
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VARCOMP Variance component estimation,方差元素估计) |
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X11ARIMA |
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