Testing for nonlinearity in time series: the method of surrogate data

Theiler, James; Eubank, Stephen; Longtin, André; Galdrikian, Bryan; Doyne Farmer, J.

doi:10.1016/0167-2789(92)90102-S

Record: found
Abstract: not found
Article: not found

Testing for nonlinearity in time series: the method of surrogate data

Author(s): James Theiler , Stephen Eubank , André Longtin , Bryan Galdrikian , J. Doyne Farmer

Publication date Created: September 1992

Publication date (Print): September 1992

Journal: Physica D: Nonlinear Phenomena

Publisher: Elsevier BV

Read this article at

ScienceOpenPublisher

Bookmark

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Related collections

Author and article information

Journal

Title: Physica D: Nonlinear Phenomena

Abbreviated Title: Physica D: Nonlinear Phenomena

Publisher: Elsevier BV

ISSN (Print): 01672789

Publication date Created: September 1992

Publication date (Print): September 1992

Volume: 58

Issue: 1-4

Pages: 77-94

Article

DOI: 10.1016/0167-2789(92)90102-S

SO-VID: ee5dfa7e-493b-4273-9f5d-6076141483d3

History

Data availability:

Comments

Comment on this article

scite_

Cited by 584

See all cited by

Testing for nonlinearity in time series: the method of surrogate data

Read this article at

Related collections

HIV Self-Testing

Author and article information

Journal

Article

History

Comments

Comment on this article

Similar content 2,926

Cited by 584