- Lin's一致性相关系数
循环数据相关
曲线拟合
- 曲线拟合 - 一般
- 分数多项式回归
- Michaelis-Menten方程
- 多项式比率拟合 - 单变量
- 多项式比率搜索 - 单变量
- 函数和模型
- 参考区间 - 年龄特定
- 非线性回归
- 多项式比率拟合 - 多变量
- 多项式比率搜索 - 多变量
- 函数图
- 曲线拟合散点图矩阵
描述性统计
- 描述性统计
- 描述性统计 - 汇总表
- 描述性统计 - 汇总列表
- 聚类随机化 - 创建聚类均值数据集
- 列联表（交叉表/卡方检验）
- 频率表
- Box-Cox变换
- 数据筛选
- 数据模拟
- Grubbs异常值检验
- 正态性检验
- 曲线下面积
- 循环数据分析
- 容许区间
- 描述性统计 - 汇总表（旧版本）
试验设计
- 随机化列表
- 平衡不完全区组设计
- 部分因子设计
- 拉丁方设计
- 响应曲面设计
- 筛选设计
- 田口设计
- 两水平设计
- 设计生成器
- D-最优设计
- 两水平设计分析
- 响应曲面回归
诊断测试
- 二元诊断测试 - 单样本
- 二元诊断测试 - 聚类样本
- 二元诊断测试 - 两个独立样本
- 二元诊断测试 - 配对样本
- 一条ROC曲线和阈值分析
- 比较两条ROC曲线 - 配对设计
- 比较两条ROC曲线 - 独立组设计
- ROC曲线（旧版本）
分布拟合
Beta分布拟合
分布（Weibull）拟合
Gamma分布拟合
Grubbs异常值检验
正态性检验
概率图
- 正态概率图
- Weibull概率图
- 卡方概率图
- 指数概率图
- Gamma概率图
- 半正态概率图
- 对数正态概率图
- 均匀概率图
- 概率图比较
预测
- ARIMA (Box-Jenkins)
- 自动ARMA
- 理论ARMA
- 自相关
- 互相关
- 频谱分析
- 分解预测
- 指数平滑 - 水平
- 指数平滑 - 趋势
- 指数平滑 - 趋势/季节性
- 调和回归
- 游程分析
组序贯
-
One Mean
- Group-Sequential Analysis for One Mean with Known Variance
- Group-Sequential Non-Inferiority Analysis for One Mean with Known Variance
- Group-Sequential Superiority by a Margin Analysis for One Mean with Known Variance
- Group-Sequential T-Tests for One Mean
- Group-Sequential Non-Inferiority T-Tests for One Mean
- Group-Sequential Superiority by a Margin T-Tests for One Mean
Two Means
- Group-Sequential Analysis for Two Means with Known Variances
- Group-Sequential Non-Inferiority Analysis for Two Means with Known Variances
- Group-Sequential Superiority by a Margin Analysis for Two Means with Known Variances
- Group-Sequential T-Tests for Two Means
- Group-Sequential Non-Inferiority T-Tests for Two Means
- Group-Sequential Superiority by a Margin T-Tests for Two Means
One Proportion
- Group-Sequential Analysis for One Proportion
- Group-Sequential Non-Inferiority Analysis for One Proportion
- Group-Sequential Superiority by a Margin Analysis for One Proportion
Two Proportions
- Group-Sequential Analysis for Two Proportions
- Group-Sequential Non-Inferiority Analysis for Two Proportions
- Group-Sequential Superiority by a Margin Analysis for Two Proportions
Survival
- Group-Sequential Analysis for Two Hazard Rates
- Group-Sequential Non-Inferiority Analysis for Two Hazard Rates
- Group-Sequential Superiority by a Margin Analysis for Two Hazard Rates
项目分析
Meta分析
- 相关比例的Meta分析
- 风险比的Meta分析
- 均值的Meta分析
- 比例的Meta分析
方法比较
- Bland-Altman图和分析
- Deming回归
- 方法比较的Passing-Bablok回归
- Lin's一致性相关系数
- Grubbs异常值检验
- 正态性检验
混合模型
- 混合模型 - 一般
- 混合模型 - 无重复测量
- 混合模型 - 重复测量
- 混合模型 - 随机系数
多变量分析
- 因子分析
- 主成分分析
- 典型相关
- 协方差相等性
- 判别分析
- Hotelling单样本T²
- Hotelling双样本T²
- 多变量方差分析（MANOVA）
- 对应分析
- 对数线性模型
- 多维尺度
检出数据
- Nondetects-Data Group Comparison
- Nondetects-Data Regression
非参数
Cochran's Q Test
Conover Equal Variance Test
- One-Way Analysis of Variance
Cumulative Incidence Curves
Dunn's Test
- One-Way Analysis of Variance
Dwass-Steel-Critchlow-Fligner Test
- One-Way Analysis of Variance
Friedman's Rank Test
- Balanced Design Analysis of Variance
Kaplan-Meier Curves
- Kaplan-Meier Curves (Logrank Tests)
Kendall's Tau Correlation
- Correlation
- Contingency Tables (Crosstabs / Chi-Square Test)
Kolmogorov-Smirnov Test
- Two-Sample T-Test
- Descriptive Statistics
- Normality Tests
- Tolerance Intervals
Kruskal-Wallis Test
- One-Way Analysis of Variance
Logrank Test
- Kaplan-Meier Curves (Logrank Tests)
Mann-Whitney U or Wilcoxon Rank-Sum Test
- Two-Sample T-Test
- Two-Sample T-Test for Non-Inferiority
- Two-Sample T-Test for Superiority by a Margin
- Two-Sample T-Test for Equivalence
- Analysis of 2x2 Cross-Over Designs using T-Tests
- Analysis of 2x2 Cross-Over Designs using T-Tests for Non-Inferiority
- Analysis of 2x2 Cross-Over Designs using T-Tests for Superiority by a Margin
- Analysis of 2x2 Cross-Over Designs using T-Tests for Equivalence
McNemar Test
- Two Correlated Proportions (McNemar Test)
- Contingency Tables (Crosstabs / Chi-Square Test)
- Cochran's Q Test
Nondetects-Data Group Comparison
- Nondetects-Data Group Comparison
Randomization Tests
- One-Sample T-Test
- Paired T-Test
- Two-Sample T-Test
- Linear Regression and Correlation
- Curve Fitting - General
- Michaelis-Menten Equation
- Hotelling's One-Sample T2
- Hotelling's Two-Sample T2
- Kaplan-Meier Curves (Logrank Tests)
ROC Curves
- One ROC Curve and Cutoff Analysis
- Comparing Two ROC Curves - Paired Design
- Comparing Two ROC Curves - Independent Groups Design
Runs Tests (Wald-Wolfowitz Runs Test)
Sign or Quantile Test
- One-Sample T-Test
- Paired T-Test
Spearman-Rank Correlation
- Correlation
- Correlation Matrix
- Linear Regression and Correlation
Wilcoxon Signed-Rank Test
- One-Sample T-Test
- One-Sample T-Test for Non-Inferiority
- One-Sample T-Test for Superiority by a Margin
- One-Sample T-Test for Equivalence
- Paired T-Test
- Paired T-Test for Non-Inferiority
- Paired T-Test for Superiority by a Margin
- Paired T-Test for Equivalence
运筹学
- Linear Programming with Bounds
- Linear Programming with Tableau
- Mixed Integer Programming
- Quadratic Programming
- Assignment
- Maximum Flow
- Minimum Cost Capacitated Flow
- Minimum Spanning Tree
- Shortest Route
- Transportation
- Transshipment
比例
One Proportion
- One Proportion
- One Proportion - Non-Inferiority Tests
- One Proportion - Superiority by a Margin Tests
- One Proportion - Equivalence Tests
- Group-Sequential Analysis for One Proportion
- Group-Sequential Non-Inferiority Analysis for One Proportion
- Group-Sequential Superiority by a Margin Analysis for One Proportion
Two Independent Proportions
- Two Proportions
- Two Proportions - Non-Inferiority Tests
- Two Proportions - Superiority by a Margin Tests
- Two Proportions - Equivalence Tests
- Two Proportions - Two-Sided Tests vs. a Margin
- Group-Sequential Analysis for Two Proportions
- Group-Sequential Non-Inferiority Analysis for Two Proportions
- Group-Sequential Superiority by a Margin Analysis for Two Proportions
- Cluster Randomization - Create Cluster Proportions Dataset
- Cluster Randomization - Create Cluster Rates Dataset
Two Correlated Proportions
- Two Correlated Proportions (McNemar Test)
- Two Correlated Proportions - Non-Inferiority Tests
- Two Correlated Proportions - Superiority by a Margin Tests
- Two Correlated Proportions - Equivalence Tests
Multiple Proportions and Contingency Tables
- Contingency Tables (Crosstabs / Chi-Square Test)
- Frequency Tables
- Cochran's Q Test
- Loglinear Models
- Mantel-Haenszel Test
质量控制
- X-bar and R Charts
- X-bar and s Charts
- X-bar Charts
- R Charts
- s Charts
- CUSUM Charts
- EWMA Charts
- Moving Average Charts
- Individuals and Moving Range Charts
- Levey-Jennings Charts
- P Charts
- NP Charts
- C Charts
- U Charts
- Analysis of Runs
- Capability Analysis
- Lag Plots
- Pareto Charts
- R & R Study
- Tolerance Intervals
- Acceptance Sampling for Attributes
- Operating Characteristic Curves for Acceptance Sampling for Attributes
参考区间
- Reference Intervals
- Reference Intervals - Age-Specific
- Robust Linear Regression (Passing-Bablok Median-Slope)
- Tolerance Intervals
回归分析
Simple Linear Regression
- Linear Regression and Correlation
- Box-Cox Transformation for Simple Linear Regression
- Robust Linear Regression (Passing-Bablok Median-Slope)
Multiple Regression
- Multiple Regression
- Multiple Regression - Basic
- Principal Components Regression
- Nondetects-Data Regression
- Response Surface Regression
- Ridge Regression
- Robust Regression
- Multiple Regression for Appraisal
- Multiple Regression with Serial Correlation
- Mediation Analysis
- Analysis of Covariance (ANCOVA) with Two Groups
- One-Way Analysis of Covariance (ANCOVA)
- General Linear Models (GLM) for Fixed Factors
- Multiple Regression (Old Version)
Logistic Regression
- Logistic Regression
- Conditional Logistic Regression
- Discriminant Analysis
- Probit Analysis
- Logistic Regression (Old Version)
Cox Regression
- Cox Regression
- Parametric Survival (Weibull) Regression
- Two-Sample Non-Inferiority Tests for Survival Data using Cox Regression
- Two-Sample Superiority by a Margin Tests for Survival Data using Cox Regression
- Two-Sample Equivalence Tests for Survival Data using Cox Regression
- Probit Analysis
Subset Selection
- All Possible Regressions
- Stepwise Regression
- Subset Selection in Multiple Regression
- Subset Selection in Multivariate Y Multiple Regression
- Conditional Logistic Regression
- Cox Regression
- Discriminant Analysis
- Geometric Regression
- Logistic Regression
- Negative Binomial Regression
- Poisson Regression
Count Data
- Poisson Regression
- Zero-Inflated Poisson Regression
- Negative Binomial Regression
- Zero-Inflated Negative Binomial Regression
- Geometric Regression
Nondetects Data
- Nondetects-Data Regression
Survival Data
- Cox Regression
- Parametric Survival (Weibull) Regression
- Two-Sample Non-Inferiority Tests for Survival Data using Cox Regression
- Two-Sample Superiority by a Margin Tests for Survival Data using Cox Regression
- Two-Sample Equivalence Tests for Survival Data using Cox Regression
- Probit Analysis
Nonlinear Regression
- Nonlinear Regression
- Curve Fitting - General
- Michaelis-Menten Equation
- Sum of Functions Models
- Fractional Polynomial Regression
- Ratio of Polynomials Fit - One Variable
- Ratio of Polynomials Search - One Variable
- Harmonic Regression
- Ratio of Polynomials Fit - Many Variables
- Ratio of Polynomials Search - Many Variables
Method Comparison
- Deming Regression
- Passing-Bablok Regression for Method Comparison
Mediation Analysis
Time Series
- Multiple Regression with Serial Correlation
- Harmonic Regression
Two-Stage Least Squares
可靠性
- Cumulative Incidence
- Kaplan-Meier Curves (Logrank Tests)
- Life-Table Analysis
- Cox Regression
- Parametric Survival (Weibull) Regression
- Two-Sample Non-Inferiority Tests for Survival Data using Cox Regression
- Two-Sample Superiority by a Margin Tests for Survival Data using Cox Regression
- Two-Sample Equivalence Tests for Survival Data using Cox Regression
- Beta Distribution Fitting
- Distribution (Weibull) Fitting
- Gamma Distribution Fitting
- Mantel-Haenszel Test
- Probit Analysis
- Tolerance Intervals
- Cluster Randomization - Create Cluster Rates Dataset
- Survival Parameter Conversion Tool
- Time Calculator
ROC曲线
- One ROC Curve and Cutoff Analysis
- Comparing Two ROC Curves - Paired Design
- Comparing Two ROC Curves - Independent Groups Design
- ROC Curves (Old Version)
调查数据
- Contingency Tables (Crosstabs / Chi-Square Test)
- Frequency Tables
- Cochran's Q Test
- Descriptive Statistics - Summary Tables
- Descriptive Statistics - Summary Lists
- Cluster Randomization - Create Cluster Means Dataset
- Cluster Randomization - Create Cluster Proportions Dataset
- Cluster Randomization - Create Cluster Rates Dataset
- Loglinear Models
- Item Analysis
- Data Screening
- Descriptive Statistics - Summary Tables (Old Version)
生存分析
- Cumulative Incidence
- Kaplan-Meier Curves (Logrank Tests)
- Life-Table Analysis
- Cox Regression
- Parametric Survival (Weibull) Regression
- Two-Sample Non-Inferiority Tests for Survival Data using Cox Regression
- Two-Sample Superiority by a Margin Tests for Survival Data using Cox Regression
- Two-Sample Equivalence Tests for Survival Data using Cox Regression
- Beta Distribution Fitting
- Distribution (Weibull) Fitting
- Gamma Distribution Fitting
- Mantel-Haenszel Test
- Probit Analysis
- Tolerance Intervals
- Group-Sequential Analysis for Two Hazard Rates
- Group-Sequential Non-Inferiority Analysis for Two Hazard Rates
- Group-Sequential Superiority by a Margin Analysis for Two Hazard Rates
- Cluster Randomization - Create Cluster Rates Dataset
- Survival Parameter Conversion Tool
- 时间计算器
时间序列
- ARIMA (Box-Jenkins)
- Automatic ARMA
- Theoretical ARMA
- Autocorrelations
- Cross-Correlations
- Spectral Analysis
- Decomposition Forecasting
- Exponential Smoothing - Horizontal
- Exponential Smoothing - Trend
- Exponential Smoothing - Trend / Seasonal
- Harmonic Regression
- Analysis of Runs
T检验
One Sample
- One-Sample T-Test
- One-Sample T-Test for Non-Inferiority
- One-Sample T-Test for Superiority by a Margin
- One-Sample T-Test for Equivalence
- Group-Sequential Analysis for One Mean with Known Variance
- Group-Sequential Non-Inferiority Analysis for One Mean with Known Variance
- Group-Sequential Superiority by a Margin Analysis for One Mean with Known Variance
- Group-Sequential T-Tests for One Mean
- Group-Sequential Non-Inferiority T-Tests for One Mean
- Group-Sequential Superiority by a Margin T-Tests for One Mean
Paired Samples
- Paired T-Test
- Paired T-Test for Non-Inferiority
- Paired T-Test for Superiority by a Margin
- Paired T-Test for Equivalence
Two Samples
- Two-Sample T-Test
- Two-Sample T-Test from Means and SD's
- Two-Sample T-Test for Non-Inferiority
- Two-Sample T-Test for Superiority by a Margin
- Two-Sample T-Test for Equivalence
- Analysis of Covariance (ANCOVA) with Two Groups
- Box-Cox Transformation for Two or More Groups (T-Test and One-Way ANOVA)
- Group-Sequential Analysis for Two Means with Known Variances
- Group-Sequential Non-Inferiority Analysis for Two Means with Known Variances
- Group-Sequential Superiority by a Margin Analysis for Two Means with Known Variances
- Group-Sequential T-Tests for Two Means
- Group-Sequential Non-Inferiority T-Tests for Two Means
- Group-Sequential Superiority by a Margin T-Tests for Two Means
2x2 Cross-Over Designs
- Analysis of 2x2 Cross-Over Designs using T-Tests
- Analysis of 2x2 Cross-Over Designs using T-Tests for Non-Inferiority
- Analysis of 2x2 Cross-Over Designs using T-Tests for Superiority by a Margin
- Analysis of 2x2 Cross-Over Designs using T-Tests for Equivalence
Multivariate Analysis
- Hotelling's One-Sample T2
- Hotelling's Two-Sample T2
Method Comparison
- Bland-Altman Plot and Analysis
Two-Level Designs
- Analysis of Two-Level Designs
双向表
- Contingency Tables (Crosstabs / Chi-Square Test)
- Frequency Tables
- Cochran's Q Test
- Loglinear Models
- Mantel-Haenszel Test
图形过程
Bar Charts
- Bar Charts
- Bar Charts (2 Factors)
- 3D Bar Charts
- 3D Bar Charts (2 Factors)
- Pareto Charts
Bland-Altman Plot
- Bland-Altman Plot and Analysis
Box Plots
- Box Plots
- Box Plots (2 Factors)
- Combo Charts
- Combo Charts (2 Factors)
Circular Data Plots
Circular Histograms
Rose Plots
Pie Charts
Contour Plots
- Contour Plots
- 3D Surface Plots
- Response Surface Regression
Curve Fitting
- Curve Fitting - General
- Michaelis-Menten Equation
- Scatter Plot Matrix for Curve Fitting
- Function Plots
Dendrograms
- Hierarchical Clustering / Dendrograms
- Clustered Heat Maps (Double Dendrograms)
Density Plots
- Density Plots
- Density Plots (2 Factors)
- Combo Charts
- Combo Charts (2 Factors)
- Violin Plots
- Violin Plots (2 Factors)
Dot Plots
- Dot Plots
- Dot Plots (2 Factors)
- Combo Charts
- Combo Charts (2 Factors)
- Violin Plots
- Violin Plots (2 Factors)
Error-Bar Charts
- Error-Bar Charts
- Error-Bar Charts (2 Factors)
- Error-Bar Charts from Summary Data
- Error-Bar Charts from Summary Data (2 Factors)
- Scatter Plots with Error Bars
- Scatter Plots with Error Bars from Summary Data
- Combo Charts
- Combo Charts (2 Factors)
- Violin Plots
- Violin Plots (2 Factors)
Forecasting
Autocorrelation Plots
- Autocorrelations
- ARIMA (Box-Jenkins)
- Automatic ARMA
- Theoretical ARMA
Cross-Correlation Plots
Data Plots
- Autocorrelations
- Cross-Correlations
- Spectral Analysis
- Theoretical ARMA
Decomposition Ratio Plots
- Decomposition Forecasting
Forecast Plots
- ARIMA (Box-Jenkins)
- Automatic ARMA
- Decomposition Forecasting
- Exponential Smoothing - Horizontal
- Exponential Smoothing - Trend
- Exponential Smoothing - Trend / Seasonal
Lag Plots
Partial Autocorrelation Plots
Periodograms
Runs Charts
Serial Correlation Plots
- Linear Regression and Correlation
- Multiple Regression
- Multiple Regression - Basic
- Multiple Regression with Serial Correlation
- Robust Regression
- Subset Selection in Multiple Regression
Spectrum Plots
- Spectral Analysis
- Theoretical ARMA
Forest Plots
- Meta-Analysis of Correlated Proportions
- Meta-Analysis of Hazard Ratios
- Meta-Analysis of Means
- Meta-Analysis of Proportions
Function Plots
Heat Maps
- Clustered Heat Maps (Double Dendrograms)
- Correlation Matrix
- 3D Surface Plots
- Contour Plots
Histograms
- Histograms
- Histograms - Comparative
- Histograms - Comparative (2 Factors)
- Combo Charts
- Combo Charts (2 Factors)
- Circular Data Analysis
- Capability Analysis
Kaplan-Meier Curves (Survival)
- Kaplan-Meier Curves (Logrank Tests)
Line Charts
- Line Charts
- Line Charts (2 Factors)
- 3D Line Charts
- 3D Line Charts (2 Factors)
Mosaic Plots
Percentile Plots
- Percentile Plots
- Percentile Plots (2 Factors)
- Combo Charts
- Combo Charts (2 Factors)
- Violin Plots
- Violin Plots (2 Factors)
Pie Charts
Probability Plots
- Normal Probability Plots
- Weibull Probability Plots
- Chi-Square Probability Plots
- Exponential Probability Plots
- Gamma Probability Plots
- Half-Normal Probability Plots
- Log-Normal Probability Plots
- Uniform Probability Plots
- Probability Plot Comparison
Quality Control Charts
- X-bar and R Charts
- X-bar and s Charts
- X-bar Charts
- R Charts
- s Charts
- CUSUM Charts
- Moving Average Charts
- EWMA Charts
- Individuals and Moving Range Charts
- Levey-Jennings Charts
- P Charts
- NP Charts
- C Charts
- U Charts
- Capability Analysis
- Lag Plots
- Pareto Charts
- Analysis of Runs
ROC Curves
- One ROC Curve and Cutoff Analysis
- Comparing Two ROC Curves - Paired Design
- Comparing Two ROC Curves - Independent Groups Design
- ROC Curves (Old Version)
Scatter Plots
- Scatter Plots
- 3D Scatter Plots
- Scatter Plots with Error Bars
- Scatter Plots with Error Bars from Summary Data
- Scatter Plot Matrix
- Scatter Plot Matrix for Curve Fitting
- Lag Plots
Stem-and-Leaf Plots
- Stem-and-Leaf Plots
- Back-to-Back Stem-and-Leaf Plots
Surface Plots
- 3D Surface Plots
- Contour Plots
- Response Surface Regression
Time Series
Autocorrelation Plots
- Autocorrelations
- ARIMA (Box-Jenkins)
- Automatic ARMA
- Theoretical ARMA
Cross-Correlation Plots
Data Plots
- Autocorrelations
- Cross-Correlations
- Spectral Analysis
- Theoretical ARMA
Decomposition Ratio Plots
- Decomposition Forecasting
Forecast Plots
- ARIMA (Box-Jenkins)
- Automatic ARMA
- Decomposition Forecasting
- Exponential Smoothing - Horizontal
- Exponential Smoothing - Trend
- Exponential Smoothing - Trend / Seasonal
Lag Plots
Partial Autocorrelation Plots
Periodograms
Runs Charts
Serial Correlation Plots
- Linear Regression and Correlation
- Multiple Regression
- Multiple Regression - Basic
- Multiple Regression with Serial Correlation
- Robust Regression
- Subset Selection in Multiple Regression
Spectrum Plots
- Spectral Analysis
- Theoretical ARMA
Violin Plots
- Violin Plots
- Violin Plots (2 Factors)
3D Plots
- 3D Scatter Plots
- 3D Surface Plots
- 3D Bar Charts
- 3D Bar Charts (2 Factors)
- 3D Line Charts
- 3D Line Charts (2 Factors)
数据操作和过程
操作
- Data Window
- Importing Data
- Exporting Data
- Filters
- Transformations
- Stacking Data
- Unstacking Data
- Creating Contrast Variables
Procedures
- Box-Cox Transformation
- Box-Cox Transformation for Two or More Groups (T-Test and One-Way ANOVA)
- Box-Cox Transformation for Simple Linear Regression
- Data List
- Data Screening
- Grubbs' Outlier Test
- Data Simulation
- Data Matching - Greedy
- Data Matching - Optimal
- Data Stratification
- Descriptive Statistics - Summary Lists
- Cluster Randomization - Create Cluster Means Dataset
- Cluster Randomization - Create Cluster Proportions Dataset
- Cluster Randomization - Create Cluster Rates Dataset
- Time Calculator
- Simple Random Sampling
- Stratified Random Sampling
- Simple Random Sampling with Group Assignment
- Stratified Random Sampling with Group Assignment
- Randomization Lists
- Merging Two Datasets
工具
计算器
- Probability Calculator
- Chi-Square Effect Size Calculator
- Odds Ratio and Proportions Calculator
- Standard Deviation Calculator
- Survival Parameter Conversion Tool
宏
在NCSS中的主要统计主题
方差分析
评估方法(Appraisal Methods)
二元诊断检验
图表和图形
交叉表(Cross Tabulation)
曲线拟和
描述性统计
试验设计
预测
一般线性模型
Meta分析
混合模型(Mixed Models) |
多变量I
多变量II
比例
质量控制
回归分析
可靠性分析
重复测量
ROC曲线
幸存分析
时间序列分析
T检验 |
NCSS中可用的过程列表
下面是包含在NCSS最新版本中的所有统计和图形过程的完整列表.如果您想了解有关某个过程的更多细节,我们建议您下载试用版本并查看帮助文件.
加速寿命检验
所有可能的回归搜索
协方差分析
方差分析
评估模型
曲线下面积
ARIMA / Box - Jenkins
平衡的不完全区组设计
条形图
Barlett方差检验
Beta分布拟合
二元诊断检验
等效性检验(Bioequivalence tests)
Bootstrap置信区间
箱线图
Box-Behnken设计
C,P,NP,U图(质量控制)
典型相关(Canonical Correlation)
能力分析(质量控制)
病例对照
中心混合设计
卡方检验
循环数据分析(Circular Data Analysis)
聚类-分层
聚类-Kmeans
可比性-(房地产评估)
比较直方图
置信界限
列联表分析
等高线图
相关比例
相关矩阵
相关性分析
Cox回归分析
互相关(Cross-Correlations)
Cross-Over设计分析
交叉表
累积发生率分析(Cumulative Incidence Analysis)
曲线拟和:内建模型
曲线拟和:模型搜索
曲线拟和:多项式比率
曲线拟和:用户自定义模型
累计和图表(质量控制)
数据匹配-最佳和Greedy
数据合并
数据筛选
数据模拟器
数据分层
描述性统计
设计生成器
试验设计
判别式分析(Discriminant Analysis)
分布回归
D-最佳设计
点图
逝去时间计算器
等价检验
误差条形图
EWMA图(质量控制)
精确检验-比例
指数平滑(Exponential Smoothing)
极值拟合
极值回归
因子分析
因子设计分析
Farrington-Manning比例
回馈模型-房地产估价
Fisher精确检验
预测
部分因子设计
Freidman检验
频数分布
量具重复性和再现性研究
Gamma拟合
Gart-Nam比例
Geisser-Greenhouse相关性
一般线性模型
Greedy数据匹配
谐波分析
Hazard函数/比率
直方图
Holt-Winters预测
Hotelling T平方
混合评估模型
If-Then变换
单值图(质量控制)
项目分析
项目响应分析
Kaplan-Meier幸存分析
拉丁平方设计
Levey-Jennings图
Life-Table分析
线性规划
线性回归 |
Logistic回归
对数线性模型对数正态拟合
对数正态回归
Log-Rank幸存检验
纵向混合模型(Longitudinal Mixed Models)
MANOVA
Mann-Whitney检验
Mantel-Haenszel检验
匹配案例分析
匹配(数据)
McNemar检验
合并两个数据库
Meta分析(Meta Analysis)
混合模型
移动平均图(质量控制)
多维排列
多项式Logistic回归
多重比较检验
多元回归
带Serial Corr.的多元回归
多变量分析
多向表格
Nondetects分析
Nondetects回归
非线性回归
非参数检验
正态性检验
比值比(Odds Ratio)分析
单样本t检验
单因子方差分析
最佳数据筛选
正交回归(Orthogonal Regression)
配对T检验
参数幸存回归
排列图(质量控制)
百分位图
饼图
Placket-Burman设计
均值图
泊松回归
功效值计算
首要成分分析
首要成分回归
概率值计算
Probit分析
倾向计数分析
倾向计数分层
比例检验
Proportional-Hazards回归
质量控制
重复性和再现性研究
随机化检验
回归分析
可靠性分布拟合
重复测量ANOVA
响应曲面设计
响应曲面回归
岭回归(Ridge Regression)
稳健回归
ROC曲线
Rose图
销售比报告(Sales Ratio Reports)
散点图
散点图矩阵
计分检验-比例
筛选设计
季节性分析
模拟器
Spearman相关性
光谱分析(Spectral Analysis)
逐步回归
数据分层
表面图
幸存分析
均值表,等
田口设计
时间计算器
时间序列分析
公差区间
趋势分析
Trimmed Means
T检验
均值和标准差的T检验
双样本T检验
变量选择
Violin图
Weibull拟合
Weibull回归
Westgard规则
Wilson计分-比例
Within-Subjects设计和分析
Wilcoxon检验
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