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Diamantopoulou, M.J., Özçelik, R., Crecente-Campo, F. and Eler, ü. (2015) Estimation of Weibull Function Parameters for Modelling Tree Diameter Distribution Using Least Squares and Artificial Neural Networks Methods. Biosystems Engineering, 133, 33-45.
https://doi.org/10.1016/j.biosystemseng.2015.02.013

has been cited by the following article:

• TITLE: New Probability Distributions in Astrophysics: V. The Truncated Weibull Distribution

  AUTHORS: Lorenzo Zaninetti

  KEYWORDS: Stars: Normal, Galaxy Groups, Clusters, and Superclusters, Large Scale Structure of the Universe, Cosmology

  JOURNAL NAME: International Journal of Astronomy and Astrophysics, Vol.11 No.1, March 26, 2021

  ABSTRACT: We demonstrate that certain astrophysical distributions can be modelled with the truncated Weibull distribution, which can lead to some insights: in particular, we report the average value, the rth moment, the variance, the median, the mode, the generation of random numbers, and the evaluation of the two parameters with maximum likelihood estimators. The first application of the Weibull distribution is the initial mass function for stars. The magnitude version of the Weibull distribution is applied to the luminosity function for the Sloan Digital Sky Survey (SDSS) galaxies and to the photometric maximum of the 2MASS Redshift Survey (2MRS) galaxies. The truncated Weibull luminosity function allows us to model the average value of the absolute magnitude as a function of the redshift for the 2MRS galaxies.