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Measuring the distance between time series

Publication ,  Journal Article
Moeckel, R; Murray, B
Published in: Physica D: Nonlinear Phenomena
January 1, 1997

To evaluate models of dynamical systems, researchers have traditionally used quantitative measures of short term prediction errors. However, for chaotic or stochastic systems, comparison of long term, qualitative behaviors may be more relevant. Let x = (x0. . . . , xn) be a sequence of real numbers generated by sampling a dynamical system or stochastic process and suppose y = (y0, . . . . yn) is another sequence, generated by a mathematical model of the process which generated x. In this paper we consider several ways of assigning a distance d(x, y) which measures the difference in long term behavior. © 1997 Elsevier Science B.V. All rights reserved.

Duke Scholars

Published In

Physica D: Nonlinear Phenomena

DOI

ISSN

0167-2789

Publication Date

January 1, 1997

Volume

102

Issue

3-4

Start / End Page

187 / 194

Related Subject Headings

  • Fluids & Plasmas
  • 4903 Numerical and computational mathematics
  • 4902 Mathematical physics
  • 4901 Applied mathematics
  • 0102 Applied Mathematics
 

Citation

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Moeckel, R., & Murray, B. (1997). Measuring the distance between time series. Physica D: Nonlinear Phenomena, 102(3–4), 187–194. https://doi.org/10.1016/S0167-2789(96)00154-6
Moeckel, R., and B. Murray. “Measuring the distance between time series.” Physica D: Nonlinear Phenomena 102, no. 3–4 (January 1, 1997): 187–94. https://doi.org/10.1016/S0167-2789(96)00154-6.
Moeckel R, Murray B. Measuring the distance between time series. Physica D: Nonlinear Phenomena. 1997 Jan 1;102(3–4):187–94.
Moeckel, R., and B. Murray. “Measuring the distance between time series.” Physica D: Nonlinear Phenomena, vol. 102, no. 3–4, Jan. 1997, pp. 187–94. Scopus, doi:10.1016/S0167-2789(96)00154-6.
Moeckel R, Murray B. Measuring the distance between time series. Physica D: Nonlinear Phenomena. 1997 Jan 1;102(3–4):187–194.
Journal cover image

Published In

Physica D: Nonlinear Phenomena

DOI

ISSN

0167-2789

Publication Date

January 1, 1997

Volume

102

Issue

3-4

Start / End Page

187 / 194

Related Subject Headings

  • Fluids & Plasmas
  • 4903 Numerical and computational mathematics
  • 4902 Mathematical physics
  • 4901 Applied mathematics
  • 0102 Applied Mathematics