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The objective of this study is to evaluate the added influence of SPs on the bias correction, which is achieved by comparing the corrected distribution of future extreme rainfall with that using conventional quantile mapping.

We evaluate the method by comparing the corrected temperatures measured with "slow" Resistance Temperature Detectors (RTD) to a ground truth provided by synchronous measurements with thermocouples that have a time constant of less than one second.

The method is evaluated by comparing the corrected time series to the original, uncorrupted, data set from an Antarctic fur seal (Arctocephalus gazella Peters, 1875).

The reproducibility of the ChitO-based assay was assessed by comparing the corrected absorbance values on nine replicates of colloidal chitin treated with 50 μU of chitinase, to nine replicates of untreated colloidal chitin.

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To test model adequacy, several data sets were simulated according to different underlying genetic assumptions and analysed by comparing the correct and incorrect models.

Comparing the corrected images obtained by the two reported techniques with the corrected images obtained by our proposed technique, it is quite obvious that the proposed technique here outperforms the reported algorithms convincingly.

This cross-validation step gives a measure of the effect size (the percent correct) and of the statistical significance by comparing the percent correct and its standard error to chance.

This point was clearly made by Mundry and Sommer [ 63] who suggested addressing the nested individual factor in a DFA by comparing the percent correct obtained in the analysis to the distribution of percent correct values obtained by randomly assigning the group identity to each individual.

By comparing the first derivative corrected spectra of the fructose and glucose standards, distinct peaks were found in the wavenumber range of 1500 750 cm−1500 750

Each correlation value was obtained by comparing the values of corrected ρ (see above) for all pairs of adjacent typed SNPs between a population pair.

Spearman rank correlation between population recombination estimates were obtained by comparing the values of corrected recombination ρ/θ for all pairs of adjacent typed SNPs between each population pair.

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