Two tools to test time series data for evidence of chaos and/or nonlinearity
Bibliographic Data
| ID | 6071312 |
|---|---|
| Authors | James Theiler (0000-0003-1888-3684, Los Alamos National Laboratory, corresponding author) |
| Year | 1994 |
| Volume | 29 |
| Issue | 3 |
| Pages | 211-216 |
| Publication date | 1994-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Integrative Psychological and Behavioral Science (JOURNAL) |
| Journal identifiers | ISSN: 1932-4502 • E-ISSN: 1936-3567 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/bf02691326 |
| PMID | 7811642 |
| OpenAlex | W1969642819 |
| Language | EN |
| References cited | 11 |
Algorithm · Autocorrelation · Correlation · Correlation dimension · Correlation integral · Mathematical analysis · Nonlinear system · Physics · Statistics · Surrogate data · Time series · Chaos control and synchronization · Complex Systems and Time Series Analysis · Computer Science · Mathematics · Nonlinear Dynamics and Pattern Formation · Applied Mathematics
| Highly cited | No |
|---|