Sentence examples for the length of error from inspiring English sources

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Similar results are obtained, with slight differences in the length of error bars and a slope of 0.994 for GLAM.

The length of error bars is the confidence interval for the prediction calculated as: ŷi +/− 1.97* sŷ.

Similar(58)

The practical limit on the length of error-free oligonucleotide synthesis has necessitated the use of enzymes for the assembly of polynucleotide chains into genes.[ 14, 15] However, these approaches have been constrained by the assumption that the phosphodiester backbone that links oligonucleotides is critical for the biocompatibility and cellular function of the resulting DNA.

The wrap around effect means that the length of an error event exceeds the number of columns in the interleaver.

The length of measured error patterns are in the order of 105 and 106 to guarantee stochastic expressiveness, which results in high calculation times to parameterize the models.

The results also show that the standard deviation of the estimate of the range speed, indicated by the length of the error bars, increases with increasing target range speed.

Notably, the variance in deoxy-Hb was half that of oxy-Hb [as indicated by the difference in the length of the error bars between graph (a1) and graph (b1), and between graph (a2) and graph (b2)].

The problem concerns finding an operator (hat{x}(t)), called an estimator, such that the dynamical evolution of (hat{x}(t)) depends causally on the output process (y(t)) and the length of the error e(t) = x t) - hat{x}(t) (9) is minimized.

Furthermore, from Fig. 4A to C, we observe that the length of the error bars decreases with the decrease of the channel size.

As a rule of thumb, the number of columns is chosen slightly larger than the length of the shortest error event of the code.

We propose a method that constructs a linear approximation of the current observation vector from the simulated historic data, and measures the departure of the current observation vector by the length of the residual error vector.

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