ΟΙ ΣΥΝΕΡΓΑΤΕΣ ΠΟΥ

ΣΥΜΒΑΛΛΟΥΝ ΕΝΕΡΓΑ ΣΤΗΝ ΕΠΙΤΥΧΙΑ

NCSS Features


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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