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Cited by 274

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Issues in Quantifying Variability from a Dynamical Systems Perspective

Open access
Hamill, Joseph, Haddad, Jeffrey M., McDermott, William J.·2000·Journal of Applied Biomechanics

Abstract

Variability is a critical aspect of a dynamical systems analysis. Because there are a number of numerical techniques that can be used in such an analysis, the calculation of variability has several issues that must be addressed. The purpose of this paper is to present a variety of quantitative methods for investigating variability from a dynamical systems perspective. The paper is divided into two major sections covering discrete and continuous methods. Each of these sections is subdivided into two sections. Within discrete methods, we discuss, first, the calculation of the discrete relative phase from a time-series history of two parameters and, second, the use of return maps. Using continuous methods, we present procedures for using angle-angle plots in the evaluation of relative phase. We then discuss the use of phase plots in the calculation of the continuous relative phase. Each of these methods presents unique problems for the researcher and the method to be used is determined by the nature of the question asked.

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Metadata

Authors
Hamill, J., Haddad, J. M., & McDermott, W. J.
Venue
Journal of Applied Biomechanics
Published
2000-11
Volume
16
Issue
4
Pages
407-418
ISSN
  • 1065-8483 (ISSN-L)
  • 1543-2688
OpenAlex
W1607972421
Cited by
274
References
8
FWCI
1.28
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Issues in Quantifying Variability from a Dynamical Systems Perspective. https://app.cochat.ai/papers/10.1123/jab.16.4.407
The paper
Hamill, J., Haddad, J. M., & McDermott, W. J. (2000). Issues in Quantifying Variability from a Dynamical Systems Perspective. Journal of Applied Biomechanics. https://doi.org/10.1123/jab.16.4.407

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.