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- Artificial intelligence
- Automatic differentiation
- Bayesian computation
- Boxplot, bivariate
- Bootstrap resampling
- Boxplot
- Branch and bound algorithm
- Collinearity
- Computer modeling
- Conditional simulation
- Constrained optimization
- Cross validation
- Data mining
- Dynamic programming
- EM Algorithm
- Environmental information systems
- EnvironmentalStats for S-PLUS
- General least squares
- Genetic algorithms
- Gibbs sampler
- Graphical displays
- Informatics, environmental
- Iteratively reweighted least squares
- Jackknife resampling
- Kernel estimator by Fourier transform
- Least squares
- Markov Chain Monte Carlo (MCMC)
- Multicollinearity
- Multivariate adaptive regression splines
- Multivariate data visualization
- Nearest neighbour methods
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- Neural network
- Nonlinear regression model
- Nonparametrics regression model
- Numerical integration
- Optimization
- Parallel computing
- Pattern recognition
- Piecewise linear model
- Random number generators
- Recursive residuals
- Reduced-rank regression
- Regression diagnostics
- Regression trees
- Regularization methods
- Resampling methods
- Residual, Studentized
- Residuals
- Robust quantile regression
- S+SPATIALSTATS
- SAS
- Seemingly unrelated regressions
- Shrinkage regression
- Simulated annealing
- Simulation and Monte Carlo methods
- Simulation-optimization modeling
- Smoothing
- Splines in nonparametric regression
- S0Plus
- Statistical computing in environmental science
- Subset selection
- Tree-structured methods
- Trimming and Winsorization
- Wavelets
- Weighted regression model
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