Page 22 - Jolliffe I. Principal Component Analysis
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                                                                                 Contents
                              13 Principal Component Analysis for Special Types of Data 338
                                 13.1
                                 13.2  Principal Component Analysis for Discrete Data .....  339
                                      Analysis of Size and Shape .................
                                                                                           343
                                 13.3  Principal Component Analysis for Compositional Data .  346
                                      13.3.1 Example: 100 km Running Data . . . .......    349
                                 13.4  Principal Component Analysis in Designed Experiments  351
                                 13.5  Common Principal Components ..............          354
                                 13.6  Principal Component Analysis in the Presence of Missing
                                      Data .............................                   363
                                 13.7  PCA in Statistical Process Control ............     366
                                 13.8  Some Other Types of Data .................          369
                              14 Generalizations and Adaptations of Principal
                                 Component Analysis                                        373
                                 14.1  Non-Linear Extensions of Principal Component Analysis  374
                                      14.1.1 Non-Linear Multivariate Data Analysis—Gifi and
                                             Related Approaches .................          374
                                      14.1.2 Additive Principal Components
                                             and Principal Curves ................         377
                                      14.1.3 Non-Linearity Using Neural Networks .......   379
                                      14.1.4 Other Aspects of Non-Linearity . . . .......  381
                                 14.2  Weights, Metrics, Transformations and Centerings ....  382
                                      14.2.1 Weights .......................               382
                                      14.2.2 Metrics ........................              386
                                      14.2.3 Transformations and Centering . . . .......   388
                                 14.3  PCs in the Presence of Secondary or Instrumental Variables  392
                                 14.4  PCA for Non-Normal Distributions ............       394
                                      14.4.1 Independent Component Analysis . . .......    395
                                 14.5  Three-Mode, Multiway and Multiple Group PCA ....    397
                                 14.6  Miscellanea  .........................              400
                                      14.6.1 Principal Components and Neural Networks . . .  400
                                      14.6.2 Principal Components for Goodness-of-Fit Statis-
                                             tics ..........................               401
                                      14.6.3 Regression Components, Sweep-out Components
                                             and Extended Components .............         403
                                      14.6.4 Subjective Principal Components . . .......   404
                                 14.7  Concluding Remarks ....................             405

                              A Computation of Principal Components                        407
                                 A.1  Numerical Calculation of Principal Components .....  408

                              Index                                                        458

                              Author Index                                                 478
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