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Surrogate Data Preserving All the Properties of Ordinal Patterns up to a Certain Length
We propose a method for generating surrogate data that preserves all the properties of ordinal patterns up to a certain length, such as the numbers of allowed/forbidden ordinal patterns and transition likelihoods from ordinal patterns into others. The null hypothesis is that the details of the under...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515228/ https://www.ncbi.nlm.nih.gov/pubmed/33267427 http://dx.doi.org/10.3390/e21070713 |