Description
TIBCO Statistica™ Data Scientist enables advanced analytics to be embedded everywhere and empower more people. Allows users to execute ad-hoc analytics with scientific graphs and plots. In addition, use the code-free, drag-and-drop workspace to create analytic workflows. Users can also create code nodes in Spark, Python, C#, R, or Visual Basic.
- Analytics for researching designs with both fixed and random effects
- ANOVA/MANOVA
- Business rules engine
- Calculators; Distributions, Pearson Product Moment Correlation Coefficient, Six Sigma
- Canonical Analysis
- Classification Trees
- Cluster Analysis
- Correlation
- Correspondence Analysis
- Cox Proportional Hazards Models
- Descriptive Statistics
- Design of Experiments (DOE)
- Discriminant Function Analysis
- Distribution Fitting
- Distributions & Simulation
- Dynamic Time Warping
- Extract, Transform, and Load (analytics are used to align time based data)
- Factor Analysis
- Fixed Nonlinear Regression
- Forecasting
- General Discriminant Analysis (GDA)
- General Linear Models (GLM)
- General Partial Least Squares Models (PLS)
- General Regression Models (GRM)
- Generalized Linear/Nonlinear Models (GLZ)
- Log-Linear Analysis of Frequency Tables
- Model deployment in PMML, Java, C#, SQL, stored procedures and SAS
- Multiple Regression
- Multidimensional Scaling (MDS)
- Nonlinear Estimation
- Nonparametric Statistics
- Automated neural networks
- Power Analysis and Interval Estimation
- Multivariate Statistical Process Control (MSPC – PCA / PLS)
- OSIsoft PI connector included
- Principal Components & Classification Analysis (PCCA)
- Process Analysis
- Process optimization for manufacturing
- Quality Control Charts
- Reliability and Item Analysis
- Root cause analysis
- Stepwise Model Builder (what-if)
- Structural Equation Modeling and Path Analysis (SEPATH)
- Supervised and unsupervised machine learning algorithms
- Survival & Failure Time Analysis
- Text mining
- Time series / forecasting
- t-tests and other tests of group differences
- Tabulate
- Variance Components & Mixed Model ANOVA/ANCOVA
- Variance Estimation and Precision (VEPAC)
