A geometric approach for computing tolerance bounds for elastic functional data
We develop a method for constructing tolerance bounds for functional data with random warping variability. In particular, we define a generative, probabilistic model for the amplitude and phase components of such observations, which parsimoniously characterizes variability in the baseline data. Base...
| Veröffentlicht in: | Journal of applied statistics. - 1991. - 47(2019), 3 vom: 24. Sept., Seite 481-505 |
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| Weitere Verfasser: | , , |
| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2019
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| Zugriff auf das übergeordnete Werk: | Journal of applied statistics |
| Schlagworte: | Journal Article Compositional noise functional Principal Component Analysis functional data analysis functional tolerance bounds |
| Online verfügbar |
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