Although there is variability in scales of the explanatory variables, the large variance of this normal distribution results in a prior that is extremely diffuse and effectively allows the data alone to define the posterior distribution of the regression coefficients.
If the number of analysis tasks grows larger (a trend which we expect), then the workloads of each of these tasks will become more complex, and the variability in scaling behavior of each may be large as well.
A further factor in interpreting the literature is the variability in scar scales utilised and the subjective nature of assessment; while many of the studies assessed in this review rated scar symptoms such as inflammation, erythema, size, scar contour, dryness and pruritus, in many cases these did not relate their findings to a published and recognised specific scar scale.
Therefore, spatial variability of soil moisture is greatly affected by meteorological factors and each of the meteorological factors has certain duration of effect on soil moisture spatial variability in regional scale.
Such a difference has contributed to the variability in the scale parameter β observed.
Analyses of variance (ANOVAs) were performed to test for significant between-unit variability in mean scale scores within the psychiatric and the somatic samples respectively.
27 There was variability in all scale mean scores at the clinical area level within the somatic and psychiatric samples respectively.
The consensus data (average ratings over 31 subjects) were preferred to individual evaluations in order to optimize statistical power and robustness of correlations, by minimizing variance due to idiosyncratic factors of no interest (e.g., habituation effects during the course of a session, variability in rating scale metrics, differences in proneness to report specific emotions, etc).
Results demonstrate that: (1) regional temperature patterns were the principle driver of surface temperatures explaining roughly 70 80% of the variance in in situ measurements; (2) the remaining variance was largely explained by spatial variability in landscape-scale physiographic variables; (3) the influence of physiographic drivers varied seasonally and was influenced by regional conditions.
One major challenge of integrating leaching from constructions into macro-scale LCA frameworks is the high variability in micro-scale technical and geographical factors, such as material qualities, construction types and soil types.
