r-DFA : Robust Detrended Fluctuation Analysis

Versión 1.2.0.0 (3,54 MB) por Abrar Habib
Robust Detrended Fluctuation Analysis
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Actualizado 30 abr 2017

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This MATLAB package is used to perform Robust Detrended Fluctuation Analysis (herein referred to as r-DFA). r-DFA is a procedure that feeds the results of the regular DFA to a series of statistical models in order to:
- determine a robust estimate of the global scaling exponent using Robust Regression,
- and to determine crossovers that produce statistically significant scaling exponents using Piecewise Linear Regression (a modification of Guido Albertin’s – 2013 PLR.m), ANCOVA and Multiple Comparison Procedure.
CITING: Please cite the following paper when using this code:
Abrar Habib, James P.R. Sorensen, John P. Bloomfield, Katie Muchan, Andrew J. Newell, Adrian P. Butler, Temporal scaling phenomena in groundwater-floodplain systems using robust detrended fluctuation analysis, Journal of Hydrlogy (2017), 549, pp. 715-730

A comprehensive explanation is available in the ReadMe.txt and a detailed explanation is available in the aforementioned paper.

Citar como

Abrar Habib (2024). r-DFA : Robust Detrended Fluctuation Analysis (https://www.mathworks.com/matlabcentral/fileexchange/60026-r-dfa-robust-detrended-fluctuation-analysis), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2016b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Categorías
Más información sobre Thermodynamics & Statistical Physics en Help Center y MATLAB Answers.
Agradecimientos

Inspirado por: piecewise.m, Piecewise linear least square fit

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r-DFA/

r-DFA/Functions/

Versión Publicado Notas de la versión
1.2.0.0

Minor changes to description.
1.1.0.0

Notes for citation of the code have been added to the description.
1.0.0.0