The LOESS Procedure
-
Overview
-
Getting Started
-
Syntax
-
DetailsMissing ValuesOutput Data SetsData ScalingDirect versus Interpolated Fittingk-d Trees and BlendingLocal WeightingIterative ReweightingSpecifying the Local PolynomialsSmoothing MatrixModel Degrees of FreedomStatistical Inference and Lookup Degrees of FreedomAutomatic Smoothing Parameter SelectionSparse and Approximate Degrees of Freedom ComputationScoring Data SetsODS Table NamesODS Graphics
-
Examples
- References
Subsections:
- Missing Values
- Output Data Sets
- Data Scaling
- Direct versus Interpolated Fitting
- k-d Trees and Blending
- Local Weighting
- Iterative Reweighting
- Specifying the Local Polynomials
- Smoothing Matrix
- Model Degrees of Freedom
- Statistical Inference and Lookup Degrees of Freedom
- Automatic Smoothing Parameter Selection
- Sparse and Approximate Degrees of Freedom Computation
- Scoring Data Sets
- ODS Table Names
- ODS Graphics