Error Analysis
- First Online: 09 December 2020
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- John H. Challis 2
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Any data collected will be corrupted by errors; it is important to quantify these errors as the magnitude of the errors will influence the interpretation of the data. Errors arise in all four stages of the experimental process: calibration, acquisition, data analysis, and data combination. The chapter defines and explains how to quantify accuracy, precision, resolution, and uncertainty. The sources of errors, including quantization errors, are discussed. The nature and quantification of error propagation are presented. Approaches are provided for determining the uncertainty in data: after low-pass filtering, calculation of derivatives, and the determination of segment and joint orientations.
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Challis, J.H. (2021). Error Analysis. In: Experimental Methods in Biomechanics. Springer, Cham. https://doi.org/10.1007/978-3-030-52256-8_11
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Published : 09 December 2020
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