Design of Experiments

  1. Advanced and Specialized Designs
    1. Nested and Hierarchical Designs
      1. Nested Factor Structure
        1. Examples of Nested Designs
          1. Analysis of Nested Designs
            1. Variance Components Estimation
              1. Mixed Models for Nested Data
              2. Split-Plot Designs
                1. Split-Plot Structure
                  1. Whole-Plot and Sub-Plot Factors
                    1. Randomization Restrictions
                      1. Analysis Considerations
                        1. Strip-Plot Designs
                          1. Split-Split-Plot Designs
                          2. Repeated Measures Designs
                            1. Longitudinal Data Structure
                              1. Within-Subject Factors
                                1. Sphericity Assumptions
                                  1. Greenhouse-Geisser Correction
                                    1. Mixed Models Approach
                                    2. Random and Mixed Effects Models
                                      1. Fixed vs. Random Effects
                                        1. Variance Components Models
                                          1. Mixed Effects Models
                                            1. REML Estimation
                                              1. Inference for Random Effects
                                              2. Crossover Designs
                                                1. Latin Square Designs
                                                  1. Balanced Incomplete Block Designs
                                                    1. Carryover Effects
                                                      1. Washout Periods
                                                      2. Mixture Experiments
                                                        1. Mixture Constraints
                                                          1. Simplex Coordinate System
                                                            1. Simplex-Lattice Designs
                                                              1. Simplex-Centroid Designs
                                                                1. Extreme Vertices Designs
                                                                  1. Mixture Model Analysis
                                                                    1. Process Variables in Mixtures
                                                                    2. Optimal Design Theory
                                                                      1. Optimality Criteria
                                                                        1. D-Optimality
                                                                          1. A-Optimality
                                                                            1. I-Optimality
                                                                              1. G-Optimality
                                                                              2. Algorithmic Construction
                                                                                1. Exchange Algorithms
                                                                                  1. Applications and Software
                                                                                  2. Computer Experiments
                                                                                    1. Deterministic vs. Stochastic Models
                                                                                      1. Space-Filling Designs
                                                                                        1. Latin Hypercube Sampling
                                                                                          1. Orthogonal Arrays
                                                                                            1. Uniform Designs
                                                                                              1. Maximin Distance Designs
                                                                                              2. Gaussian Process Models
                                                                                                1. Kriging and Surrogate Modeling

                                                                                              Previous

                                                                                              9. Robust Design and Taguchi Methods

                                                                                              Go to top

                                                                                              Next

                                                                                              11. Statistical Analysis and Model Building