Model validation: Difference between revisions

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Anyone would agree that the logical inference 'if A is true, then B must be true' combined with the observation that 'B is true' does not imply that 'A is true'.  
Anyone would agree that the logical inference 'if A is true, then B must be true' combined with the observation that 'B is true' does not imply that 'A is true'.  
And yet this mistake appears to be rather common: if a given plasma model (A) describes a given experiment (B), it is inferred that the model must be 'OK' - erroneously, because the agreement may be fortuitous or due to constraints that are hard to identify, or the data interpretation problem may be ''badly posed'' (see below).
And yet this mistake appears to be rather common: if a given plasma model (A) describes a given experimental result (B), it is inferred that the model must be 'OK' - erroneously, because the agreement may be fortuitous or due to constraints that are hard to identify, or the data interpretation problem may be ''badly posed'' (see below).


There are several ways of avoiding this trap:
There are several ways of avoiding this trap:

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