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Benchmark id: sbt1

Waveform mistfits

Solution	Horizontal components				All components
Solution	1-Norm	2-Norm	RMSE	%VR	1-Norm	2-Norm	RMSE	%VR
SIVdata	*	*	*	*	*	*	*	*
bdelouis	*	*	*	*	*	*	*	*
holden	*	*	*	*	*	*	*	*
monelli	*	*	*	*	*	*	*	*
sblindJB	*	*	*	*	*	*	*	*
sblindJZ	*	*	*	*	*	*	*	*

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The misfit metrics given below are computed for each waveform data and averaged for horizontal components only and for all the components.
1-Norm (sum of average absoluture errors) = Σ|y _i - f(x_i)|
2-Norm (sum of squares of the errors) = Σ(y _i - f(x_i))²
Variance Reduction (VR) (scaled sum of the squares of the errors) = 1 - [ Σ(y _i - f(x_i))² ] / [ Σ y ²]

Note : The waveform misfits are scaled up by multiplying with 100 to highlight differences in the small values. Additionally, the entries indicated with *, if the waveform data has not been provided.