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A novel parameter mapping is proposed to obtain a simple relationship between the design parameter and the ultimate bounds of error trajectories.
Within the usual bounds of error (plus or minus one standard deviation), yields could fit into any of four rating buckets its own or the ones just below and above it (see chart).
Exact recursive formulas are provided to calculate the upper bounds of error covariance which may serve as an alternative index to be optimized when the expression of error covariance is unavailable.
Automatic quantification was performed for both the taxonomic-specific and general eubacterial probes, and the upper and lower bounds of error from the image analysis process were calculated according to the methods of Jubany et al. (2009).
In the majority of selected taxonomic groups detected by FISH, high variability was observed in the upper and lower bounds of error calculated from the image analysis process (Fig. 6).
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We assumed a 50% prevalence of good knowledge and attitudes, 5% bound-of-error, and inflated the sample by 20% to account for non-respondents and incomplete interviews.
We supposed a range in consumption of food that was equal to 65 g dry matter /d (s=16), and the bounds of errors was <8 g of food intake (B=8).
It is proven that the proposed DKF is of consistency, that is, an upper bound of error covariance matrix can be provided by the filter in real time.
The conditions that ensure zero-error tracking for each helicopter are identified; for the case with nonzero error, explicit relationship inequalities between the involved design parameters and the ultimate bound of error are revealed.
The initial localized generalization error model (LGEM) aims to find an upper bound of error between a target function and a radial basis function neural network (RBFNN) within a neighborhood of the training samples.
In this paper, through the studying of upper bound of localization error of LLS, an upper bound of error propagation in the localization is proposed.
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