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Title: Application Of General Linear Models To Calibration Data
Author: L. S. Mordecai
Source: 1983 Measurement Science Conference
Year Published: 1983
Abstract: Measurement processes and measurement systems exhibit variability which forms part of the limit on calibration accuracy. Standards laboratories often maintain separate recurds of in-house intercomparisons and customer calibrations. If data from customer and in-house measurements all originate from a single, cornnon measurement process, then inter-comparisons of both sets of standards can be included in one general linear model. The process of estimating the values of the standards and the variability of the measurement process can be both the single most powerful and the most convenient at the same time. This paper discusses the principle of general linear statistical models and their typical application to calibration data. Segments from typical basic language computer programs are included to demonstrate their implementation on desktop computers.




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