"The Burr XII Distribution Family and the Maximum Entropy Principle: Power-Law Phenomena Are Not Necessarily “Nonextensive”"
written by F. Brouers,
published by Open Journal of Statistics, Vol.5 No.7, 2015
has been cited by the following article(s):
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[1] Some physical features of the Burr-type-XII distribution
[2] The use of the Brouers–Sotolongo fractal kinetic equation for the study of drug release
[3] Role of Fe3O4 magnetite nanoparticles used to coat bentonite in zinc (II) ions sequestration
Environmental Nanotechnology, Monitoring & Management, 2018
[4] Systems of frequency distributions for water and environmental engineering
Physica A: Statistical Mechanics and its Applications, 2018
[5] From fractals to stochastics: Seeking theoretical consistency in analysis of geophysical data
Advances in Nonlinear Geosciences, 2018
[6] Brouers-Sotolongo fractal kinetics versus fractional derivative kinetics: A new strategy to analyze the pollutants sorption kinetics in porous materials
Journal of Hazardous Materials, 2018
[7] Non linear modelisation of dyes removal from aqueous solution by using sorption onto Luffa cylindrica fibers
[8] On the Use of Brouers-Sotolongo Kinetics Equation and Isotherm for the Removal Fluorine from Aqueous Solutions by Clay
Recent Advances in Environmental Science from the Euro-Mediterranean and Surrounding Regions, 2017
[9] Fractal kinetics versus fractional derivative kinetics
[10] Entropy-Based Parameter Estimation for the Four-Parameter Exponential Gamma Distribution
Entropy, 2017
[11] Kinetic modeling of antibiotic adsorption onto different nanomaterials using the Brouers-Sotolongo fractal equation.
Environmental Science and Pollution Research International, 2017
[12] Hurst-Kolmogorov dynamics in hydrometeorological processes and in the microscale of turbulence
[13] Dubinin isotherms versus the Brouers–Sotolongo family isotherms: A case study
[14] Kinetic modeling of antibiotic adsorption onto different nanomaterials using the Brouers–Sotolongo fractal equation
Environmental Science and Pollution Research, 2016