Abstract
Statistical methods are described to evaluate data quality. Quality is considered to consist of close grouping for several readings of the same variable; or consistency of measurements. Statistical methods include histograms, construction of Gaussian distributions, and computation of standard deviation.
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© 2001 Springer Science+Business Media New York
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Berghaus, D. (2001). Statistical Evaluation for Data Quality. In: Numerical Methods for Experimental Mechanics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1473-2_1
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DOI: https://doi.org/10.1007/978-1-4615-1473-2_1
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-7923-7403-9
Online ISBN: 978-1-4615-1473-2
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