Projections and sensitivity analysis to given variables
Sensitivity of potential evapotranspiration to changes in climate variables for different Australian climatic zones
... the sensitivity of PET can provide critical ev- idence in relation to identifying models that are most appro- priate for PET estimation under climate change conditions, which is particularly relevant to the ...
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Visual analysis of sensitivity in CAT models: interactive visualisation for CAT model sensitivity analysis
... Interactive linking between these different graphical views of data allows them to be integrated into a workflow. We recommend offering alternative graphical reordering to assist in identifying significant model inputs, ...
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Sensitivity of Greenland ice sheet projections to model formulations
... The generalization based on only a few explicitly modelled glaciers has its limitation in view of the variability of Greenland outlet glacier speeds (Moon and others, 2012). The explicitly modelled glaciers (except for ...
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Using proxy variables to control for unobservables when estimating productivity: A sensitivity analysis.
... and variables in greater ...empirical analysis, we will remain agnostic on these timing assumption in order to compare production function coefficients and TFP estimates ob- tained using different ...
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Dimensional analysis is a method for reducing the number and complexity of experimental variables that affect a given physical phenomena.
... important variables for the phenomena. Selection of important variables is not a trivial task and requires considerable judgment and ...the analysis; but there is no other practical alternative in ...
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Bergman projections on weighted Fock spaces in several complex variables
... In the one-dimensional case, an important contribution to weighted Fock spaces was given by Christ [] (but see also [, ]). They work under the assumption that φ is subhar- monic and that φ dA is a doubling ...
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Climate change projections for variables affecting road networks in Europe
... Fig. 9. Change of the maximum frost depth during an average year in the Nordic countries in areas which are kept clean of snow (roads, airfields etc.). A more specific approach would be possible and should be considered ...
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Implications of potentially lower climate sensitivity on climate projections and policy
... The expected warming from a given evolution in greenhouse gas emissions over the coming century is thus better constrained than the spread in ECS estimates would suggest. This does not mean that possible ...
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Sensitivity Analysis of the Penman Monteith Reference Evapotranspiration to Climatic Variables: Case of Burkina Faso
... the sensitivity coefficient of Tmin which has a minimum value of ...The sensitivity of wind speed is more significant from October to May, but from June to August the effect of Tmin is more ...with ...
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Sensitivity of centennial mass loss projections of the Amundsen basin to the friction law
... 2.2.1 Initialisation A number of observations are used in order to initialise the model. The initial ice thickness is taken from Bedmap2 (Fretwell et al., 2013). A two-dimensional reference field of η 0 , denoted by η ...
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The sensitivity of bank credit risk indicators to macroeconomic variables
... In light of the unknown relationships between exchange rates (EXR), volume of imports (IMP), volume of exports (EXP01) and both credit risk indicators (Gauthier et al., 2012 and Nkusi 2011). The current study observes ...
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Proposing a global sensitivity analysis method for linear models in the presence of correlation among input variables
... To the best of the authors' knowledge, there is no deterministic SA method to address the interaction between factors in a comprehensive way (Morris's method is known to be global [1]). All of the SA methods, which ...
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Sensitivity Analysis
... • Who decided that they should be developed and how? • Why were we not better informed about their use in our food, before their arrival on the market? • Why are we not given an effective choice about whether or ...
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A sensitivity analysis of the PAWN sensitivity index
... in sensitivity indices that have the potential to condition the results of a given sensitivity ...of sensitivity indices, however, are especially important for they condition the computational ...
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DEFINING THE PSYCHOMETRIC PROPERTIES OF THE WRITING SENSITIVITY SCALE AND ANALYSING WRITING SENSITIVITY WITH REGARD TO DIFFERENT VARIABLES
... Writing Sensitivity Scale, to determine its psychometric properties and to investigate how sensitivity toward writing differed according to participants’ demographic ...Writing Sensitivity Scale ...
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Sensitivity of ecosystem goods and services projections of a forest landscape model to initialization data
... shorter-term projections are sensitive to initialization uncertainty, with sensitivity increasing when EGS are assessed at smaller spatial scales, and when the EGS indicators depend on the spatial ...
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On the Sensitivity of Granger Causality to Errors‐In‐Variables, Linear Transformations and Subsampling
... which variables are of interest, and the objectives of the ...monetary variables) or leading indicators of economic activity, and X B economic outcomes ...the variables often provides a natural ...
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Sensitivity of Matching-Based Program Evaluations to the Availability of Control Variables
... Two issues affecting the appropriateness of matching estimators are common support and match quality. If there is insufficient common support, then there is a subset of observations without appropriate matches. For this ...
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Sensitivity analysis and optimisation to input variables using winGamma and ANN: A case study in automated residential property valuation
... Accepted 17 January 2016 In this research work, an optimal Automated Valuation Model (AVM) using ANNs was developed to evaluate residential property price in Brimbank, Victoria, Australia. Optimisation to ANNs was ...
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A method for sensitivity analysis to assess the effects of measurement error in multiple exposure variables using external validation data
... error. Sensitivity analysis, however, shows that the outcome of the two methods differs strongly when one assumes a strong error ...ity analysis is that depending on the assumed magnitude of ...
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