Regression problems for magnitudes

@article{Castellaro2006RegressionPF,
  title={Regression problems for magnitudes},
  author={S. Castellaro and F. Mulargia and Y. Kagan},
  journal={Geophysical Journal International},
  year={2006},
  volume={165},
  pages={913-930}
}
SUMMARY Least-squares linear regression is so popular that it is sometimes applied without checking whether its basic requirements are satisfied. In particular, in studying earthquake phenomena, the conditions (a) that the uncertainty on the independent variable is at least one order of magnitude smaller than the one on the dependent variable, (b) that both data and uncertainties are normally distributed and (c) that residuals are constant are at times disregarded. This may easily lead to wrong… Expand
Regression between earthquake magnitudes having errors with known variances
  • J. Pujol
  • Mathematics
  • Journal of Seismology
  • 2016
Recent publications on the regression between earthquake magnitudes assume that both magnitudes are affected by error and that only the ratio of error variances is known. If X and Y representExpand
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