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Measurement Error Models

To utilize the measured data, we need to be able to characterize the total uncertainty in the measurement. We have already established that this uncertainty will have both a random and systematic component. Typically, the simplest way to combine the random and systematic errors is to simply add the variances associated with each component or

error_equ_1

where σ is the total standard deviation, σr is the standard deviation due to random errors, and σs is the standard deviation due to systematic errors

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