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Statistical convergence error is defined and monitored by using the confidence intervals of the mean and variance.
We also propose a modification of the classification algorithm to mask noisy joint trajectories by using the confidence values from the skeleton tracker.
Although this methodology is more sensitive to the noise present in the joint position estimation, we manage to effectively alleviate this problem by using the confidence values provided by the skeleton tracker itself.
Table 2 Saturated viscosity correlations References γ API range Region of data source Data points Comment Beal (1946) 15.8 45.7 USA 351 APE = 13.4% Chew and Connally (1959) NA USA 457 The performance of the correlation was examined by using the confidence limit Beggs and Robinson (1975 16 588 – 2073 APE = −1.83%.
We thus give an approximation by using the confidence bounds of.
By using the confidence interval method of respective concordance correlation coefficient, we demonstrated reproducibility for all PROMs.
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We estimated a confidence interval by using the reported confidence intervals (CIl, CIu).
We derived 95% confidence intervals for the sex ratios by using the 95% confidence interval for the proportion of female births (pf) with a variance of pf 1-pf).
By using the lower confidence bound (LCB) parameter at the cutoff of 1.2, DNA-Chip Analyzer (dChip) software identified 2,062 differentially expressed probe sets, corresponding to 1,920 transcripts.
Accuracy was established by using the 95% confidence interval (CI) for the difference rate between the two parameters.
By using the binomial confidence intervals for the clinical rates, a threshold corridor for our TD marker between 0.002 and 0.0024 was thereby derived.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com