Abstract
Despite the importance of measurement uncertainty, it is widely misunderstood, and it represents a vague subject for both industrial and scientific practitioners. In this chapter, it is aimed to introduce the subject of measurement uncertainty step-by-step starting from the basic principles to the actual uncertainty evaluation techniques. The text does not only present the theoretical aspects of uncertainty, but it also deals with its practical implementation. The chapter begins by introducing the concept of uncertainty and its importance, and then it discusses Type A and Type B uncertainty evaluation methods. After that, the GUM uncertainty framework is presented as well as the Monte Carlo simulation technique and its programming details. Throughout the chapter, several examples are demonstrated to put the discussed concepts into action. The chapter is very useful for anyone whether an industrial practitioner, scientist, or student.
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Hawam, A.A. (2023). The Quantifying of Uncertainty in Measurement. In: Aswal, D.K., Yadav, S., Takatsuji, T., Rachakonda, P., Kumar, H. (eds) Handbook of Metrology and Applications. Springer, Singapore. https://doi.org/10.1007/978-981-99-2074-7_126
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DOI: https://doi.org/10.1007/978-981-99-2074-7_126
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