Abstract
This paper is concerned with generalised regression models in metrology. In experiments where much is known about the nature of the error in the measurement data, it is possible to build comprehensive mathematical models which lead to better estimates of the required parameter values. We indicate how efficient optimisation algorithms can be developed which exploit the structure of the corresponding regression problems and discuss applications in generalised distance regression and pressure metrology.
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Forbes, A.B. Generalised regression problems in metrology. Numer Algor 5, 523–533 (1993). https://doi.org/10.1007/BF02108667
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DOI: https://doi.org/10.1007/BF02108667