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Results showed that digital mapping method can accurately predict the thickness of peat, explaining up to 98% of the variation of the data with a median relative error of 5% or an average error of 0.3 m.
From a leave-one-out validation, it has been found that the developed prediction equation can estimate mean annual maximum rainfall with a median relative error of about 5.5%.
Under near-ideal dosimetric conditions, there was excellent correlation between intended tumor mean doses by predictive dosimetry and those by 90Y PET, with a low median relative error of +3.8%95%5% confidence interval, -1.2% to +13.2%).
Tumor 99mTc MAA SPECT/CT predictive dosimetry had a low median relative error of +3.8% (mean +6.0%, 95%CI-1.2%to to +13.2%; Additional file 1: Figure S4) compared to 90Y PET.
We performed a study with 30 professional software engineers and found that the median relative error of the engineers' subjective estimates of defect content to be zero, and that the reinspection decision based on that estimate is consistently more correct than the default decision of never reinspecting.
The median relative error for Sienax was 1.2%.
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The median relative errors of the frequency estimates at the studied basins were less than 20% in most cases.
The median relative errors are 0.13 % and 0.14 %.
The median relative errors of the parameter estimates from the IFPE, IPE and SPE methods are given in Table 1.
The resulting median relative absolute error was 11.5%, and the median absolute error was 18 mg/dl.
The low- and middle-income function is unbiased, with a median relative transfer error of −.05 (95% CI: −.15 to.03), a 25th percentile error of −.22 (95% CI: −.29 to −.19), and a 75th percentile error of.2095%CI .14to.30of.2095%CI .14to.30
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median relative amount
median standard error
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median absolute error
median relative humidity
median relative dose
median relative quantification
median analytical error
median relative tumour
median relative risk
median relative location
median relative sensitivity
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median relative volume
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