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This result suggests that our IC data were reasonable for use in the analysis of trading connections in provinces and cities.
Consequently, these data were reasonable for use as a gold standard to determine how well the two national NO2 and benzene models (the LUR models and the LUR models with gradients) predicted within-city variation.
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However, we still assume that the filtered data are reasonable for singling out different constraints in forest productivity.
Therefore, the data were reasonable and comparable.
The agreement between the model predictions and the experimental information from plant data is reasonable, thus providing a model-based framework for future research.
Confirmation of our established prediction scheme, although not a novel methodology, has revealed that the output prediction data is reasonable and acceptable as a working hypothesis for experimental verification.
The figure 1 data is reasonable, but not interesting.
As long as other assumptions of the test were reasonable for the data (i.e., independence of observations, normality, homogeneity of variance; Field, 2009), this would be a highly suitable approach.
Appeals to normality of data may not be reasonable for the distribution of cluster means, given variation in medical practice, social and geographical factors.
Our results emphasize that whereas linear interpolation from the results of high doses may be reasonable for data on the effects of continuous treatment with non-toxic dose levels of carcinogen, it may be misleading when extrapolating, as here, from the effects of single large doses.
Non-parametric methods based on permutation tests such as the one performed by the PERMANOVA tool are preferable since they allow to partition the variability in the data according to a complex design or model and to base the analysis on a multivariate distance measure that is reasonable for ecological data sets [40].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com