Produkty

Statistica Basic Academic obsahuje:

• ANOVA
• Basic Statistics
• Box-Cox
• Canonical Correlation Analysis
• Classification Trees
• Cluster Analysis Techniques
• Correlations
• Correspondence Analysis
• Cox Proportional Hazard Model
• Descriptive Statistics, Breakdowns, and Exploratory Data Analysis
• Discriminant Analysis
• Distribution and Simulation
• Distribution Fitting
• Factor Analysis
• Frequency Tables, Crosstabulation Tables, Stub-and-Banner Tables, Multiple Response Analysis
• General Discriminant Analysis Models (GDA)
• General Linear Models (GLM)
• General Nonlinear Estimation (and Quick Logit / Probit Regression)
• General Partial Least Squares Models(PLS)
• General Regression Models (GRM)
• Generalized Linear Models (GLZ)
• Interactive Probability Calculator
• Log-Linear Analysis of Frequency Tables
• Multidimensional Scaling
• Multiple Regression Methods
• Multivariate Exploratory Techniques
• Nonparametric Statistics
• Power Analysis and Interval Estimate
• Principal Components & Classification Analysis
• Reliability / Item Analysis
• Structural Equation Modeling / Path Analysis (SEPATH)
• Survival / Failure Time Analysis
• Time Series Analysis / Forecasting
• T-Tests
• Variance Components and Mixed Model ANOVA/ANCOVA

Statistica Ultimate Academic obsahuje všechny funkcionality Statistica Basic Academic a navíc:

• Association Rules
• Automated Neural Networks
• Boosted Trees
• Data Miner Recipes
• Deep Learning
• Feature Selection and Variable Filtering (Predictor Selecting)
• General CHAID (Chi-square Automatic Interaction Detection) Models
• General Classification and Regression Trees (GTrees)
• Generalized Additive Models (GAM)
• Generalized EM & k-Means Cluster Analysis
• Goodness of Fit Computations
• Interactive Classification and Regression Trees
• Interactive Drill-Down Explorer
• K-Nearest Neighbors
• Lasso Regression (predictor selection)
• Multivariate Adaptive Regression Splines (MARSplines)
• Random Forest
• Rapid Deployment of Predictive Models
• Support Vector Machines (SVM)
• Design of Experiment
• Extract, Transform, and Load (ETL)
• Industrial Statistics (Quality Control)
• Multivariate Statistical Process Control
• Process Analysis
• Process Capability Analysis
• Reporting Tables
• Rules Builder
• Sequence and Link Analysis
• Text Miner
• Variance Estimation and Precision
• Weight Of Evidence (Predictor Selection and Binning)