We assume such global random variable represent the average variability for each embryo.
Secondly, we ran a linear regression analysis aimed to identify which variables had a greater effect on the cost variability for each service.
This made it possible to calculate the intra- and inter-observer variability for each landmark.
Variability for each threshold was determined through 200 bootstrap simulations (Efron & Tibshirani, 1993).
Monte Carlo simulations were used in order to quantify the impact of parameter variability for each scenario.
Table 2 Anatomical description of the various landmarks used, with the intra- and inter-observer variability for each.
Third, we calculated a mean IQV per center (based on 26 IQVs) to assess the global variability for each center (Additional file 1).
In addition to the variability of parameters due to divergent kinetics between clinical cases, there is a lesser amount parameter variability for each case, a.k.a., within case variability.
Based on the optimum conditions, the intra-day and inter-day variability for each microcystins in all vegetable samples were less than 8.6%, with the recoveries ranging from 71.9% to 96.5%.
Although we did not find significant regional or successional variability in a global measure of plant cover, we did find significant and different patterns of variability for each of the main plant functional groups considered.
In particular, we examined architectural patterns from the components and connectors architectural view, and we discovered recurring primitive abstractions among the patterns, that also demonstrate a degree of variability for each pattern.
