Measurement Error Models¶
Fuller, W. A. (1987). Measurement Error Models. Wiley.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Measurement Uncertainty and Observational Noise
- An incomplete map (uncertainty) can be completed; an imprecise instrument (noise) cannot be made infinitely precise, a distinction Fuller (1987) formalizes by treating measurement-error models as a structural class separate from ordinary regression with unknown parameters.
This sourceCanonical statistical reference: distinguishes ordinary regression (uncertainty in unknown parameters) from errors-in-variables structures (noise intrinsic to the measurement apparatus that biases inference if ignored).
- An incomplete map (uncertainty) can be completed; an imprecise instrument (noise) cannot be made infinitely precise, a distinction Fuller (1987) formalizes by treating measurement-error models as a structural class separate from ordinary regression with unknown parameters.
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