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This paper proposes a method based on computing a mean (nominal) plant, uncertainty weight based on the deviations of the extreme plants from the mean plant and performance weights capturing desired performance.
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A novel computational approach, namely the extended unified interval stochastic sampling (X-UISS) method, is proposed to calculate the statistical characteristics (i.e., mean and standard deviation) of the extreme bounds (i.e., lower and upper bounds) of the concerned responses (e.g., displacement and stress) of engineering structure involving hybrid spatially dependent uncertainties.
By exposing the doctrinal deviations in the extreme theological positions of his time, viz., the concept of Christ as predominantly divine or human, advocated respectively by the monophysite or Nestorian schools, Theodore intended to show the middle ground of orthodox teaching.
This paper attempts to provide a mathematical basis of the extreme deviations observed.
The results indicate that this contribution is important but still accounts only for a minority of the extreme deviations from the characteristic relative rates.
Factors such as low prevalence of certain variants and high standard deviation in the extreme high group militate against detection of effects within groups.
Furthermore, "extreme" RTs outside ±2.5 standard deviations of the individual mean RTs were also excluded from the analysis (overall, 1.90% of trials).
Error bars represent the extreme values of the fold change, incorporating the standard deviations of the mutant ΔCts.
Both of the extreme views are implausible.
All 12 genes met the pre-specified acceptance criteria (a maximum deviation from linearity of 1 CT) over at least an 11 log2 concentration range (2-6 to 2) with a median deviation at the extremes of 0.4 CT.
The largest deviations are found at the extreme ends of the duplex.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com