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Estimation of the maximum and minimum is considered in a random coefficient autoregressive model for bounded data.
The stopping criterion chosen for all experiments is Υ(n)<ε and |Υ(n)−Υ(n−1)|<ε, where ε is a threshold by which the global minimum is considered to be reached, and n is the current iteration.
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The model where the AIC reached its minimum was considered the optimal model.
This minimum area is considered to avoid applying search ranges that are too small.
The couple of pixels that has the minimum score is considered as the best-matched pixels.
The minimum value is considered to be the first state and maximum value is considered to be the last state.
Optimum trajectory planning for a planar redundant manipulator which consumes minimum power is considered in this paper.
The StO2 downslope is generally considered to reflect muscle metabolism and the minimum StO2 is considered to indicate the extent of ischemia.
Hence, single linkage is scalable to large datasets, however it is highly susceptible to outliers since only the minimum edge is considered in each step.
In a clinical setting we typically count the pulse for 30 SECONDS as this is the minimum that is considered accurate.
Delta temperature minimum (ΔTmin) contribution is considered in this study.
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CEO of Professional Science Editing for Scientists @ prosciediting.com