Titlebook: Data Modeling for Metrology and Testing in Measurement Science; Franco Pavese,Alistair B. Forbes Book 2009 Birkhäuser Boston 2009 Internet

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Daniel C. O’Connell,Sabine Kowalata obtained through measurement are transferred via communication networks and processed further bysoftware systems. This development has led to increasingly complex and distributed metrological functions. This complexity has different facets: it can not only enhance the functionality of a measurin

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https://doi.org/10.1007/978-0-387-77632-3ware component gives the hardware extended measuring capabilities and the instruments are thus named virtual instruments. This chapter deals with virtual instruments and with the different forms of their implementation. Both the hardware and software components of a virtual instruments are detailed.

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Data Modeling for Metrology and Testing in Measurement Science978-0-8176-4804-6Series ISSN 2164-3679 Series E-ISSN 2164-3725

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Approaches to Data Assessment and Uncertainty Estimation in Testing,The following chapter presents a selection of feasible approaches to data assessment and uncertainty evaluation for single measurands (univariate case), multiple measurands with and without a functional relationship (multivariate case), and some aspects of semi-qualitative and qualitative testing.