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A procedure for sensitivity analysis used with nonlinear incremental-iterative structural analysis of frames is proposed.
Therefore, the modelling procedure for sensitivity map calculations of any four-electrode planar conductivity sensor was proposed and described in this paper.
A procedure for sensitivity analysis of planar steel moment frameworks accounting for second-order displacement effects and inelastic material behavior under combined bending moment and axial force is presented in the context of performance-based design for seismic loading.
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FSSIM would benefit from extensions to model biodiversity, landscape and conservation indicators, from procedures for sensitivity and uncertainty analysis, from a more detailed modeling of the relationships between livestock density, grassland and manure production and from further calibration and validation of the model to new locations and research questions.
In this paper, a highly efficient procedure for design sensitivity analysis of elastoplastic material with isotropic hardening rule is presented.
This paper proposes a procedure for design sensitivity analysis using the direct differentiation method which can be easily included into a finite element code.
The ultimate goal is to develop a systematic procedure for the sensitivity analysis of statistical LOCA simulation that takes into account the various sources of uncertainties in the calculation chain.
A two-stage procedure for estimating sensitivity and specificity is described.
These methods are not readily accessible in most of the statistical software packages at present; however, SAS has recently extended the MI procedure for conducting sensitivity analyses to the MAR assumption using the pattern-mixture model approach [ 28].
Procedures for this sensitivity analysis were iterative, required a number of assumptions, and as this was a novel approach, necessitated the introduction of nonstandard terms.
We specified our calculation methods clearly, which are the traditional psychometric procedures for computing sensitivity (the percentage of true positives identified as positive) and specificity (the percentage of true negatives identified as negative).
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