Hi guys
I've been studying the inversion theory, cause I'm applying it to DCIP data, using the UBC DCIP2D program.
I'm a bit confused about the relationship between the standard deviation of the data and the inversion process.
I mean, for example if the standard deviation of one datum in particular is too big, does it mean that the inversion algorithm will take more time (and effort) to find a suitable model?
How does the standard deviation of the collected data affects the inversion process?
Hope you can help me on this
Inversion theory - DCIP survey
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