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Abstract

In a previous work, constrained regression has been applied in order to estimate both the accuracy and the precision of a scale system, under the condition of a constant systematic bias model. The present work approaches the problem of the robustness of such estimator with respect to a possible inadequacy of the model. The consideration of both procedures, the unconstrained and the constrained ones, leads to an estimator, which improves the estimate and is more robust in singling out the aberrant scales.

Additional information

Authors: BRUNELLI F GENERAL SYSTEMS, MILANO (ITALY) OLIVI L JRC ISPRA ESTAB. (ITALY) , GENERAL SYSTEMS, MILANO (ITALY);JRC ISPRA ESTAB. (ITALY)
Bibliographic Reference: EUR 8331 EN (1983) MF, 25 P., BFR 120, BLOW-UP COPY BFR 150, EUROFFICE, LUXEMBOURG, POB 1907
Availability: Can be ordered online
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