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We performed a sensitivity analysis of the effect of this program using the lower and upper bounds of the range of annual numbers of compassionate releases.
For each cause of death we calculated a range for the percentage reduction r by substituting into the equation the upper and lower bounds of the 95% confidence interval for RR and the upper and lower bounds of the range of p. To obtain a point estimate and range for the total reduction in all-cause maternal mortality, we used a model with two stages.
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Moreover, to avoid the resonance of a structure and to consider the dynamic response of an uncertain one, and also for reliability and stability analysis, we often need the bounds of the ranges of structural characteristic parameters such as natural frequency and normal mode.
Unlike prior work [14 17], the upper bound θ ⋆ of the range of marking parameters 0 < θ < θ ⋆ does not depend on the efficiency constant C eff which is formally introduced in the following Section 4.2.
Amplification patterns – finite or bounded descriptions of the ranges of the amplifications in the chromosome – were extracted from the clustered data and expressed according to the original cytogenetic nomenclature.
The combination of the RH lower bound and the upper bound quantifies the range of R(T1,…, T K ).
This allows us to evaluate the influence of the range of soft bounds used for a given data set, irrespective of possible errors in fossil calibration dates.
In cases where production is reported to occur only within a specified range, we used the geometric mean (GM) of the upper and lower bounds of the range as the central best estimate of total production.
For instance, given genes u, v and w, their factorized parameters g (U u T V v ; Ψ u, v ) and g (U u T V w ; Ψ u, w ) share a common gene latent feature vector U u. Parametrized logistic function g is given by g (x ; ψ (1 ), ψ (2 ), ψ (3 ) ) = ψ (3 ) 1 + ψ (1 ) exp (− ψ (2 ) x ) and bounds the range of factorized parameters by modeling saturation of the Reporter.
The Venn diagrams show the number of AIDs whose difference of the average similarity scores for noninactive-noninactive (NN) pairs and noninactive-inactive (NI) pairs of 1,389 AIDs in the PubChem BioAssay database are out of the range of, where "lower-bound" corresponds to μ - σ and "upper-bound" corresponds to μ + σ.
The Venn diagrams show the number of AIDs whose difference of the average ComboT similarity scores for noninactive-noninactive (NN) pairs and noninactive-inactive (NI) pairs of 1,389 AIDs in the PubChem BioAssay database that are out of the range of, where "lower-bound" corresponds to μ - σ and "upper-bound" corresponds to μ + σ.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com