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An intermediate 3 h yielded an error of 10% compared to the results obtained with the hydrolysis times specifically tailored to the type of biomass and can thus be recommended as a practical compromise.
Alternatively, estimating a subject's walking distance without the algorithm yielded an error of 20% with respect to actual walking distance.
For absorption coefficient maps the uncorrected data yielded an error of 75%and4.5%5% for corrected data.
For comparison, a fragment molecular orbital calculation (in particular by the FMO2 procedure, which is very similar to the MB2 approach) for a 64-water cluster yielded an error of 0.003 au (1.9 kcal/mol) per monomer by employing MP2.
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For rough estimation, E = 0.2, which corresponds to a normalized eigenvalue of 1 ± 0.2, yields an error of approximately 1 dB so that the error region of E < 0.2 might be sufficiently accurate in practical application.
A completely correct split would indicate five arthropods on one side of the division and four non-arthropod invertebrates on the other side; this would have an error score of 0. A completely random grouping would yield an error score of 4. A similar procedure was used for the division between the five mammals and the six non-mammal vertebrates in the survey; the maximum error here would be 5.
Given the number of amplification cycles and the error rates of the enzymes, this procedure is expected to yield an error rate of approximately 10-3, or about 0.53 nucleotide misincorporations per 390 bp fragment amplified.
The closed testing approach yields an error rate of 2%.
However, truncating the POD basis yields an error in the calculation of the global values used as performance objectives and constraints which in turn affects the optimization results.
The SLH correlation yielded an average error of 23%.
A comparison between the experimental rate and the corresponding rates obtained using this model yielded an average error of 7%.
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