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Data Uncertainties :

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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Data Uncertainties :

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  1. 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

  2. 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

  3. Fixing slip rate on AL fault and running inversion with remaining parameters free

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