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Detailed Statistical Features List
Following is a comprehensive list of all statistical and graphics procedures that are available in the latest release of NCSS. If you would like to see full details on a procedure, we suggest that you download the trial version and look at the Help file.
| Accelerated Life Testing All-Possible Regression Search Analysis of Covariance Analysis of Variance Appraisal Models Area Under the Curve ARIMA / Box – Jenkins Balanced Incomplete Block Designs Bar Charts Barlett Variance Test Beta Distribution Fitting Binary Diagnostic Tests Bioequivalence tests Bootstrap Confidence Intervals Box Plots Box-Behnken Designs C, P, NP, U Charts (QC) Canonical Correlation Capability Analysis (QC) Case-Control Central Composite Designs Chi-Square Test Circular Data Analysis Clustering – Hierarchical Clustering – Kmeans Comparables – (Real Estate Appraisal) Comparative Histograms Confidence Limits Contingency Table Analysis Contour Plot Correlated Proportions Correlation Matrices Correspondence Analysis Cox Regression Cross-Correlations Cross-Over Design Analysis Cross Tabulation Cumulative Incidence Analysis Curve Fitting: Built-In Models Curve Fitting: Model Searching Curve Fitting: Ratio of Polynomials Curve Fitting: User-Specified Models Cusum Chart (QC) Data Matching – Optimal and Greedy Data Merge Data Screening Data Simulator Data Stratification Descriptive Statistics Design Generator Design of Experiments Discriminant Analysis Distribution Regression D-Optimal Designs Dot Plots Double Dendrograms Elapsed Time Calculator Equivalence Tests Error Bar Charts EWMA Chart (QC) Exact Tests – Proportions Exponential Smoothing Extreme Value Fitting Extreme Value Regression Factor Analysis Factorial Design Analysis Farrington-Manning Proportions Feedback Model – Real Estate Appraisal Fisher’s Exact Test Forecasting Fractional Factorial Designs Freidman’s Test Frequency Distributions Gage R and R Gamma Fitting Gart-Nam Proportions Geisser-Greenhouse Correction General Linear Models Greedy Data Matching Harmonic Analysis Hazard Functions/Rates Histograms Holt – Winters Forecasting Hotelling’s T-Squared Hybrid Appraisal Models If-Then Transformations Individuals Chart (QC) Item Analysis Item Response Analysis Kaplan-Meier Survival Analysis Latin Square Designs Levey-Jennings Chart Life-Table Analysis Linear Programming Linear Regression |
Logistic Regression Loglinear Models Lognormal Fitting Lognormal Regression Log-Rank Survival Tests Longitudinal Mixed Models MANOVA Mann-Whitney Test Mantel-Haenszel Test Matched Case-Control Matching (Data) McNemar Test Merging Two Databases Meta-Analysis Mixed Models Moving Average Chart (QC) Multidimensional Scaling Multinomial Logistic Regression Multiple Comparison Tests Multiple Regression Multiple Regression with Serial Corr. Multivariate Analysis Multi-Way Tables Nondetects Analysis Nondetects Regression Nonlinear Regression Nonparametric Tests Normality Tests Odds Ratio Analysis One-Sample T-Tests One-Way ANOVA Optimal Data Matching Orthogonal Regression Paired T-Tests Parametric Survival Regression Pareto Chart (QC) Percentile Plots Pie Charts Placket-Burman Designs Plots of Means Poisson Regression Power Calculations Principal Components Analysis Principal Components Regression Probability Calculator Probability Plots Probit Analysis Propensity Score Matching Propensity Score Stratification Proportion Tests Proportional-Hazards Regression Quality Control R and R Study Randomization Tests Regression Analysis Reliability Distribution Fitting Repeated Measures ANOVA Response Surface Designs Response Surface Regression Ridge Regression Robust Regression ROC Curves Rose Plots Sales Ratio Reports Scatter Plots Scatter Plot Matrices Score Test – Proportions Screening Designs Seasonal Analysis Simulator Spearman’s Correlations Spectral Analysis Stepwise Regression Stratification of Data Surface Plots Survival Analysis Tables of Means, Etc. Taguchi Designs Time Calculator Time Series Analysis Tolerance Intervals Trend Analysis Trimmed Means T-Tests T-Tests directly from Means and SD’s Two-Sample T-Tests Variable Selection Violin Plots Weibull Fitting Weibull Regression Westgard Rules Wilson’s Score – Proportions Within-Subjects Design and Analysis Wilcoxon Test Xbar-R Chart (QC) |
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