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I have two methods to determine a value. Method one, gives me value A with uncertainty sA, and method 2 gives me value B with uncertainty sB. The distance between the values is larger than the addition of their respective uncertainties.

Here is my problem. If I believed both numbers equally, I could calculate the error using standard methods. But I don't believe both numbers equally. I trust measurement A more than do measurement B.

I'm not very familiar with Baysian stastics. Is it possible to assign a final value and uncertainty based on the relative trust I have of the two different methods? If so, how?

Thanks!

(This question comes from my research and is not a HW question. Any literature suggestions would be great.)

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# Two measurements. Different trust.

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