Maximum weights used for sensitivity analysis
A GIS-Based Sensitivity Analysis of Multi-Criteria Weights
... weight sensitivity of a GIS-based MCDM ...criteria weights on the model outcomes in spatial ...decision weights associated with all criteria used for suitability modelling were varied to ...
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Scenario Weights for Importance Measurement (SWIM) – an R package for sensitivity analysis
... flexible sensitivity analysis framework, based primarily on results and tools developed by Pesenti et ...scenario weights, which encode the required stress and allow monitoring the impact of the ...
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Sensitivity Analysis of Maximum Overvoltage on Cables with Considering Forward and Backward Waves
... Keywords: Maximum overvoltage, Sensitivity analysis, Forward and Backward waves. 1. INTRODUCTION power transmission network has developed during the last decades based on the use of over head line ...
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Sensitivity analysis of the habitat models used in the Heureka planning system
... been used that have high level of uncertainty itself especially in terms of spatial context ...variables used in my analysis namely percentage (volume) of deciduous trees – low quality at fine ...
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Kernelization for Maximum Leaf Spanning Tree with Positive Vertex Weights
... 6 Conclusion We have presented a simple problem kernel with 5.5k vertices for Weighted Max Leaf, using new weight-based reduction rules. This serves as an example of how to obtain effective and efficient data reduction ...
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A Global sensitivity analysis of photochemical models used for predicting tropospheric ozone
... This Thesis is brought to you for free and open access by the Thesis/Dissertation Collections at RIT Scholar Works. It has been accepted for inclusion in Theses by an authorized administrator of RIT Scholar Works. For ...
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Static stiffness modeling and sensitivity analysis for geared system used for rotary feeding
... parameterized by geometric errors that vary with time. Ibaraki et al. 8,9 proposed a scheme to calibrate error motions of rotary axes on a five-axis machining center by using the R-test and an algorithm to identify both ...
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Sensitivity analysis for a 4 sensor probe used for bubble velocity vector measurement
... the sensitivity of 4-sensor-probes, used for bubble velocity vector measurement to dimensional measurement errors of the probe and to errors in measuring the time intervals between the surfaces of the ...
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Evaluation of the Accuracy of Different Methods Used to Estimate Weights in the Pediatric Population
... the maximum impact these factors could have on weight ...the maximum effect of gender and ethnicity was ...the maximum effect of predictors varied with age because of the age- ethnicity statistical ...
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Using Weights in the Analysis of Survey Data
... Normally used to compensate for over – or under – sampling of specific cases or for disproportionate stratification --Example: it is common practice to over-sample minority group members or persons living in areas ...
Propensity Score Analysis with Matching Weights
... score analysis methods: stratification, matching, and inverse probabil- ity ...we used five strata, as this is a popular choice in data analytical practice [7, ...we used the R package MatchIt ...the ...
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Uropathogenic Analysis and Commonly Used Drug Sensitivity Patterns of the Pathogens in Dhaka City, Bangladesh
... Aims: Human urinary tract infections (UTI) are very common in Bangladesh. The objectives of the current study are to identify the uropathogenic agents infecting males and females of different age groups, and commonly ...
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Guidance for use of weights: an analysis of different types of weights and their implications when using SAS PROCs
... dasticity weights, discussed the conceptual difference between the two and illustrated the implications of the conceptual difference in SEs of estimated population means though analytic expressions and Monte Carlo ...
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Sensitivity of Modeling Techniques Used for Analysis of Modular Composite Floor Panels in Nuclear Safety-Related Structures
... models used for design basis analysis of non-seismic loading are also used as models for soil structure interaction (SSI) ...SSI analysis, and increases run ...
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Measuring congestion in data envelopment analysis with common weights
... the maximum performance level of the decision maker considers common to all ...common weights in data to scale assumptions about the nature of the output variables (VRS) are as ...
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Calculation of substructural analysis weights using a genetic algorithm
... datasets used here are described in detail by Gardiner et ...were used for all of the experiments reported ...training-set, weights determined for each of the 166 fragments comprising a fingerprint, ...
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Maximum entropy production: can it be used to constrain conceptual hydrological models?
... If we consider for example evaporation, the chemical po- tential (or energy level) of the atmospheric water demand, as defined by both Kleidon and Schymanski (2008) and Po- rada et al. (2011), is highly sensitive for ...
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Visual analysis of sensitivity in CAT models: interactive visualisation for CAT model sensitivity analysis
... We demonstrate how interactive visualisation (Gehegan, 2005) can be used as a visual interface to MSA data using a Venezuela earthquake CAT model as a case study. Willis were particularly interested in the effects ...
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Rating firms and sensitivity analysis
... Risk Sensitivity Model (DRSM) which inves- tigates the variation of the enterprise default risk under changes in the model inputs for ex post analysis and for managerial ...a sensitivity ...
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Sensitivity Analysis for Data Mining
... 3 Neural Networks A neural network is a learning system made up of a set of neurons configured in a highly interconnected network. It can learn from examples and exhibit some capability for generalization, beyond the ...
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