Generalized statistics: applications to data inverse problems with outlier-resistance

HIGHLIGHTS

• who: Gustavo Z. dos Santos Lima et al. from the School of Science and Technology, Federal University of Rio Grande do Norte, Natal, RN, Brazil have published the paper: Generalized statistics: Applications to data inverse problems with outlier-resistance, in the Journal: PLOS ONE of May/12,/2022
• what: The authors present a review of robust approaches based on the field of statistical physics to estimates physical parameters from a data set polluted by outliers. Applying the probabilistic maximum-likelihood method in the q-Gaussian distribution, the authors have the following objective function =q (m . . .
  

   

  

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