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Calibration can refer to adjustment of measurements to agree with value of some standard; to transform classifier scores into class membership probabilities; etc. Do not use for predicting an explanatory variable from an observation of the dependent variable, for that use the tag inverse-prediction.

1 vote

Validate a medical test

See also Calibration curve …
Glen_b's user avatar
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5 votes
Accepted

Determining values of correction factor based on x bins in observed vs. actual data

It's probably worth your time to google on this; or rather on one of these: inverse regression -sliced --- (because this avoids some not-so-relevant hits) inverse regression calibration Your problem … information to the raw calibration curve. --- A second, simple regression model With the decrease in variability against fitted in the first model, and the fact that the actual problem is to try to …
Glen_b's user avatar
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2 votes

I have two sets of data, what is the best way to fit one set of data so it most closely matc...

You seem to be attempting to identify a calibration curve. …
Glen_b's user avatar
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1 vote

Proper statistical analysis for similarity of two paired datasets

Aside: It sounds like your underlying problem (though not your direct questions) is related to calibration, on which a fair bit has been written. … So the methodology of calibration may be of use to you if your device has some bias compared to the commercial one. …
Glen_b's user avatar
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2 votes

Tuning an exponential moving average to a moving window mean?

If I understand the question correctly, the issue is one of trying to make an exponentially decreasing weight series fit to a discrete uniform (constant weight with cutoff): Clearly either an EWMA …
Glen_b's user avatar
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