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Approaches to Data Assessment and Uncertainty Estimation in Testing

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Data Modeling for Metrology and Testing in Measurement Science

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Summary

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.

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Author information

Authors and Affiliations

  1. Federal Institute for Materials Research and Testing (BAM), Unter den Eichen 87, 12205 Berlin, Germany

    Wolfram Bremser & Werner Hässelbarth

Authors
  1. Wolfram Bremser
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  2. Werner Hässelbarth
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Corresponding author

Correspondence to Wolfram Bremser .

Editor information

Editors and Affiliations

  1. Metrologica (INRIM), Divisione Termodinamica, Istituto Nazionale di Ricerca, Strada delle Cacce 73, Torino, 10135, Italy

    Franco Pavese

  2. MSC , Module 13 , National Physics Laboratory , Hampton Road, Teddington, Middlesex, TW11 0LW, United Kingdom

    Alistair B. Forbes

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© 2009 Birkhäuser Boston

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Bremser, W., Hässelbarth, W. (2009). Approaches to Data Assessment and Uncertainty Estimation in Testing. In: Pavese, F., Forbes, A. (eds) Data Modeling for Metrology and Testing in Measurement Science. Modeling and Simulation in Science, Engineering and Technology. Birkhäuser Boston. https://doi.org/10.1007/978-0-8176-4804-6_10

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