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Data Uncertainties : - PowerPoint PPT Presentation


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Data Uncertainties :. Reduced chi-square misfit of data. Most input data are weighted by 1/variance. Angular data. Some slip rates are given by min/max range. Parameter uncertainties:. ‘Formal’ uncertainties estimated by TDEFNODE are linearized.

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slide1

Data Uncertainties:

Reduced chi-square misfit of data

Most input data are weighted by 1/variance

Angular data

Some slip rates are given by min/max range

slide2

Parameter uncertainties:

  • ‘Formal’ uncertainties estimated by TDEFNODE are linearized.
  • Parameter covariance matrix is (MTWM)-1 where M is matrix of partial derivatives and W is weight matrix.
  • M = | datum/parameter |
  • Other strategies:
  • Runs with parameter fixed at multiple values
  • Bootstrapping
  • Monte Carlo (add noise and invert many times)
  • Hypothesis testing