Sentence examples for compare errors from inspiring English sources

Exact(5)

However, the error statistics of a model fitted to natural-logged data can often be interpreted as approximate measures of percentage error, as explained below, and in situations where logging is appropriate in the first place, it is often of interest to measure and compare errors in percentage terms.

We also wish to investigate effect of the unbiasedness constraint (18) on the OFIR-EU estimate, compare errors in different kinds of FIR filters, and analyze the trade-off between the OFIR-EU filter derived in this paper, UFIR filter [33], OFIR filter [34], and KF under the diverse operation conditions.

The present paradigm is of specific interest because (a) we can compare errors in conflicting (EF) with conflict-reduced circumstances (EL) and additionally (b) correct responses in differential conflicting situations.

To these ends, we first compare errors elicited by memory demands to those in the baseline condition and explore potential causes of memory errors.

Figure 3 FVE solution with the first-order accuracy when (pmb{t=2~mbox{s}}). Figure 4 Compare errors of the CNFVE solutions with the FVE solutions with the first-order accuracy when (pmb{0le tle 2~mbox{s}}).

Similar(55)

RESULTS: compare error rates between conditions and examine the type and severity of errors most often made with opt-in versus opt-out defaults.

A 3×2 ANOVA was used to compare error and reaction time data with Stimulus (Neutral, Congruent, Incongruent) as the within-subjects factor and Group (low ADHD, high ADHD) as the between subjects factor.

We used the Wilcoxon test to compare error rates across volume subclasses, and to compare error rates between temporal pole and no-temporal pole within a volume infarct subclass.

To compare error rates between different sequencers, rabies control plasmid was sequenced a second time at Elim Biopharm (Hayward, CA) using Illumina Genome Analyzer IIx.

The emphasis of this chapter is on comparing errors made by model-driven and data-driven approaches.

Additional two-way ANOVAs compared errors to criterion across the different discriminations and reversals of each lesion group with the control group.

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