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The idea is to define two windowing matrices for reducing this error from the estimated residuals and anomalies.
The magnitude of this error from soft tissue deformation as well as the rotatory movements in the hip, foot and ankle joints must be considered when using external devices to measure knee rotation in clinical studies.
Here, we present a new method of error correction for HR data collected with the Polar system, including (1) visual inspection of the data, (2) a standardized way to decide with the aid of an algorithm whether or not a value is an outlier (i.e., "error"), and (3) the subsequent removal of this error from the data set.
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In this case, the error, from a long-term perspective, will be accumulated.
This procedure inevitably results in the correct estimation of parental allele frequencies but exaggerates the error in estimating allele frequency in the offspring pools as this contains the error from both samples.
This brings down the error from 9% for uncompensated sensor to 0.1% only for compensated sensor using the delayed model of neuron in the temperature range of 0 70 °C.
In contrast to this, with MI the error from Gaussian fit decreases with wavelength, indicating progressively decreased spherical aberration at longer wavelengths.
This error results from inaccurate knowledge of the device characteristics or from the effects of quantization and finite precision processing.
This error derives from a romantic novel written in 1510 that stated, "There is an island called California very close to the side of the Terrestrial Paradise".
This error arises from the difference between ideal model and actual pipe.
We find that self-reported BMI is subject to substantial measurement error and that this error deviates from classical measurement error.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com