Surrogate data
Surrogate data (see Surrogate data testing) usually refers to time series data that is produced using well-defined (linear) models like ARMA processes that reproduce various statistical properties like the autocorrelation structure of a measured data set.[1] The resulting surrogate data can then for example be used for testing for non-linear structure in the empirical data.
References
- ↑ Prichard; Theiler (1994). "Generating surrogate data for time series with several simultaneously measured variables" (PDF). Physical Review Letters 73 (7): 951–954. doi:10.1103/physrevlett.73.951.
Further reading
- Schreiber, T.; Schmitz, A. (1996). "Improved Surrogate Data for Nonlinearity Tests". Physical Review Letters 77 (4): 635–638. Bibcode:1996PhRvL..77..635S. doi:10.1103/PhysRevLett.77.635. PMID 10062864.
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