Effect of significant data loss on identifying electric signals that precede rupture estimated by detrended fluctuation analysis in natural time
E. S. Skordas; N. V. Sarlis; P. A. Varotsos · 2010 · Chaos: An Interdisciplinary Journal of Nonlinear Science
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Electric field variations that appear before rupture have been recently studied by employing the detrended fluctuation analysis (DFA) to quantify their long-range temporal correlations. These studies revealed that seismic electric signal…
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Metadata source: Crossref · DOI 10.1063/1.3479402
