Advanced Statistical Modeling
Advanced techniques that don't require an advanced degree.
- Easily deal with the diversity of modeling tasks: univariate, multivariate, and multifactor.
- Use your data in the modern forms collected – text, functional and more – and transform it to build more useful models for better insights.
JMP is the market leader. It utilizes strong multivariate tools, which we need, and every version release comes with new and improved bells and whistles.
Kieran O'Mahony
Data Science and Analytics Manager, Dairygold
Multivariate analysis
- Principal components analysis (PCA)
- Clustering
- Correlation analysis
- Factor analysis
- Multidimensional scaling
- Structural equation modeling (SEM) PRO
- Discriminant analysis
- Multiple correspondence analysis
- Latent class analysis
- Partial least squares (PLS)
- t-SNE PRO
- UMAP PRO
Nonlinear modeling
- Dissolution
- Fit curve
- Gaussian process model PRO
- Nonlinear regression
- Spline fitting
- Polynomials
- Sigmoid Curves
- Exponential Growth and Decay
- Peak Models
- Pharmacokinetic Models
Time series
- ARIMA
- Seasonality
- Autocorrelation
- Moving average
- Auto regressive (AR)
- Time Series Forecast
Advanced regression
- Generalized regression PRO
- Mixed models
- Generalized linear models
- Generalized linear mixed models (GLMM) PRO
- Penalized regression PRO
- Random effects
- LASSO
- Elastic Net
- Ridge
Variable selection
- Predictor screening
- Variable importance
- Stepwise
- All possible models
- Column contributions
Functional data analysis
- Spectral analysis PRO
- Wavelet analysis PRO
- Smoothing PRO
- Savitzky-Golay smoothing PRO
- Functional DOE PRO
- B-Spline PRO
- P-Spline PRO
- Fourier basis PRO
- Direct FPCA PRO
- Peak Modeling PRO
Process optimization
- Profiling
- Simulation
- Trade space analysis
JMP® Analytic Capabilities
See everything that JMP® can do for you and your organization, from data access and cleaning, to exploration and visualization, all the way through sharing and communicating your results.
