Detecting nonlinearity in short and noisy time series using the permutation entropy
type: Item
instance of: scholarly article
title: Detecting nonlinearity in short and noisy time series using the permutation entropy
zbMATH Open document ID: 1375.94090
author: Luciano Zunino
author: Christopher W. Kulp
published in: Physics Letters. A
publication date: 2017-11-24T00:00:00Z
Mathematics Subject Classification ID: 94A17
Mathematics Subject Classification ID: 62M10
zbMATH DE Number: 6812319
zbMATH Keywords: time series analysis
zbMATH Keywords: permutation entropy
zbMATH Keywords: nonlinearity
zbMATH Keywords: surrogate method
describes a project that uses: PETROPY
MaRDI profile type: Publication
full work available at URL: j.physleta.2017.09.032
OpenAlex ID: W2755742170
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DOI: 10.1016/J.PHYSLETA.2017.09.032
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description: scientific article; zbMATH DE number 6812319