The criteria for such estimation are based on the meaning of the Hurst exponent: (i) it equals 0.5 if the data series represents ideal white noise; (ii) for a Hurst exponent in the range [0.5, 1.0], the data series has a clear trend, with relatively low noise (i.e., persistent behavior); and (iii) antipersistent behavior occurs for a Hurst exponent in the range [0.0, 0.5], indicating that the data take an opposite value around a mean value [ 27 ].
← all excerpts
Thermophysics-Informed Phenomenological Framework for Molten Material Self-Organization in Laser Remelting-Based Surface Polishing: Conceptualization and Preliminary Analysis.
1
—
—