Non-parametric Methods

  1. Non-parametric Regression and Smoothing
    1. Rank-Based Regression
      1. Regression on Ranks
        1. Rank Transformation
          1. Linear Model Fitting
            1. Interpretation of Results
            2. Theil-Sen Estimator
              1. Median of Pairwise Slopes
                1. Calculation Procedure
                  1. Robustness Properties
                    1. Confidence Intervals
                  2. Local Smoothing Methods
                    1. Locally Weighted Regression
                      1. LOESS Method
                        1. LOWESS Method
                          1. Weight Function Selection
                            1. Bandwidth Selection
                              1. Robust Fitting Options
                              2. Kernel Regression
                                1. Nadaraya-Watson Estimator
                                  1. Kernel Function Types
                                    1. Gaussian Kernel
                                      1. Epanechnikov Kernel
                                        1. Uniform Kernel
                                        2. Bandwidth Selection Methods
                                          1. Cross-validation
                                            1. Plug-in Methods
                                          2. Spline Smoothing
                                            1. Smoothing Splines
                                              1. Regression Splines
                                                1. Knot Selection
                                                  1. Smoothing Parameter Selection
                                                2. Density Estimation
                                                  1. Histogram Methods
                                                    1. Bin Width Selection
                                                      1. Sturges' Rule
                                                        1. Scott's Rule
                                                          1. Freedman-Diaconis Rule
                                                          2. Kernel Density Estimation
                                                            1. Kernel Function Selection
                                                              1. Bandwidth Selection
                                                                1. Boundary Correction Methods
                                                                  1. Multivariate Extensions

                                                              Previous

                                                              6. Measures of Association

                                                              Go to top

                                                              Next

                                                              8. Advanced Resampling Methods