Journal cover Journal topic
Geochronology Advances in geochronological science
Journal topic
Preprints
https://doi.org/10.5194/gchron-2020-4
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gchron-2020-4
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  14 Feb 2020

14 Feb 2020

Review status
A revised version of this preprint is currently under review for the journal GChron.

Robust Isochron Calculation

Roger Powell, Eleanor C. R. Green, Estephany Marillo Sialer, and Jon Woodhead Roger Powell et al.
  • School Earth Sciences, The University of Melbourne, Vic 3010, Australia

Abstract. A robust statistics approach to isochron calculations is presented, accompanied by an implementation in Python. It allows isochrons to be calculated for a wider range of datasets than the standard classical statistics approach, assuming that the distribution of uncertainties on the data is slightly fatter-tailed than Gaussian. The robust approach advocated reduces to the classical approach for "good'" datasets.

Roger Powell et al.

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Status: final response (author comments only)
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Roger Powell et al.

Roger Powell et al.

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