CitedEvidence
User Settings
Article

The two-component error model in measurement systems capability analysis

Michele Scagliarini,Daniela Cocchi-2007-01-01-Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)
0

TL;DRAbstract

The assessment of the capability of a measurement system is an important aspect of most process and quality improvement efforts. The usual statistical model relating the measured value to the true, but not observable, value of the quality characteristic is linear and additive. This paper examines the effects of the two-component error model on the performance of measurement systems, and shows that this error model may substantially affect the producer’s and consumer’s risks. We discuss the use of an approximated method to evaluate the capability of the measurement system under the two-component error model.

Chat with Paper

AI Agents for this Paper

The assessment of the capability of a measurement system is an important aspect of most process and quality improvement efforts. The usual statistical model relating the measured value to the true, but not observable, value of the quality characteristic is linear and additive. This paper examines the effects of the two-component error model on the performance of measurement systems, and shows that this error model may substantially affect the producer’s and consumer’s risks. We discuss the use of an approximated method to evaluate the capability of the measurement system under the two-component error model.

Keywords

Observational errorComponent (thermodynamics)Measure (data warehouse)System of measurementRange (aeronautics)StatisticsQuality (philosophy)Econometrics

Chat

Click to start Chat