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This study confirmed, on an experimental basis, that modelling is an efficient approach to make useful predictions of the evolution of selected populations although the basic assumptions considered in the models (polygenic additive model, normality of the distribution, base population at the equilibrium, etc).
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In addition to mapping the present distribution of species, zoogeographers formulate theories to explain the distribution, based on information about geography, physiography, climate, and geologic history, as well as knowledge of the evolutionary history and relationships of the animals involved.
Models have been developed to estimate the distribution based upon some simple assumptions, but at best, they relied on incomplete data.
The distribution based on thickness was highly correlated with surface area only.
Such tests make inferences about the parameters of the distribution based on estimates obtained from the data.
For the distribution based methods, MCID was calculated using effect sizes (ES) and standard error of measurement (SEM) as benchmarks.
Minimal important difference (MID) or the smallest score of change considered important from the patients' and clinicians' point of view were calculated using the distribution based approach.
Table 1 showed the distribution based on helmet use, helmet type, and other crucial demographic and clinical variables between the case and control groups.
Microsatellite information pertaining to the distribution based on motif-size, distribution in coding/non-coding regions, motif size-wise distribution and the density of repeats in coding regions of both the genomotif size-wiseratedistribution
The extent to which the shapes of the distributions based on mass and linear measures will differ depends on whether the relationship between the two kinds of measures is isometric or allometric.
Most of the IaBSFDs examined separately for the sexes did not show any significant deviations from normality in the case of body mass, although the distributions based on linear measurements tended not to be normal (Tables S2 and S3).
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