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...

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Detalles Bibliográficos
Autores principales: Hirata, Yoshito, Shiro, Masanori, Amigó, José M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515228/
https://www.ncbi.nlm.nih.gov/pubmed/33267427
http://dx.doi.org/10.3390/e21070713

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