1/ f Noise and multifractality from bristlecone pine growth explained by the statistical convergence of random data

DOI10.1098/rspa.2016.0586zbMath1404.92010OpenAlexW2589951573MaRDI QIDQ4647127

Wayne S. Kendal

Publication date: 4 January 2019

Published in: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1098/rspa.2016.0586

zbMATH Keywords

self-organized criticalitymultifractalityemergent propertyfluctuation scalingTaylor's power law

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15)

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Uses Software

• Multifractal

Cites Work

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• A history of the central limit theorem. From classical to modern probability theory
• Dispersion models for geometric sums
• Fractional motions
• Self-organized criticality attributed to a central limit-like convergence effect
• Multifractal analysis in a mixed asymptotic framework
• A stochastic model for the self-similar heterogeneity of regional organ blood flow
• Self-organized criticality
• Stochastic Models That Separate Fractal Dimension and the Hurst Effect
• Fractional Brownian Motions, Fractional Noises and Applications

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