The sensitivity analysis approach
Average rates of return, working capital, and NPV-consistency in project appraisal: A sensitivity analysis approach
... same sensitivity to pertur- bations in the input data as the ...a sensitivity analysis approach and taking into explicit account the role of working capital, we show that the average return on ...
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A global sensitivity analysis approach for morphogenesis models.
... These efforts have led to highly complicated models, where traditional analysis tools in dynamical systems the- ory, such as bifurcation analysis and phase plane analysis, fall short. The models must ...
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A GIS based spatially-explicit sensitivity and uncertainty analysis approach for multi-criteria decision analysis
... decision analysis (MCDA) techniques are increasingly used in landslide susceptibility mapping for the prediction of future hazards, land use planning, as well as for hazard ...systematic approach to ...
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An Algebraic Approach To Sensitivity Analysis In Linear Programming
... In a given linear programming model, when more than one parameter is changed for sensitivity analysis, the 100% rule is used to determine whether the current basis is still optimal. Once the solution is ...
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NPV Sensitivity Analysis: A Dynamic Excel Approach
... When the level of uncertainty is relatively high, the range of the estimate is comparatively broad, and NPV can only be quantified with a limited degree of certainty. By simply creating a static formula for the ...
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Sensitivity analysis and optimization of the nuclear fuel cycle : a systematic approach
... Combination of Criteria D and F (Depleted Uranium Inventory and Levelized Cost of Electricity); The general trend identified for this optimization scenario is the anti[r] ...
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A New Approach for the Analysis of Hyperspectral Data: Theory and Sensitivity Analysis of the Moment Distance Method
... 4. Discussion The MDI has three advantages compared to other existing indices. First, the MDI uses more than two or three spectral bands to infer information about vegetation properties. Its potential to utilize a number ...
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Sensitivity analysis of scenario models for operational risk Advanced Measurement Approach
... scenario analysis as a direct input may exhibit significant volatility due to changes in scenario ...capital sensitivity increases with choice of a conservative risk-curve for fitting to scenario ...
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ON THE EFFICIENCY OF THE SPLITTING AND ROULETTE APPROACH FOR SENSITIVITY ANALYSIS. Viatcheslav B. Melas
... INTRODUCTION Sensitivity analysis is a relatively new but substan- tially important ...However sensitivity analysis can be directed not only to the study of ready made mod- els but also to the ...
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Sensitivity analysis of cotton trade liberalization: a global simulation model approach
... In addition, according to Francois and Hall (2003), having the change in price and traded quantity, welfare and revenue effects are also calculated by the model. On the other hand, there are practical limitations of the ...
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Evaluation of a weighting approach for performing sensitivity analysis after multiple imputation
... weighting approach and the theory behind this method (which is based on importance ...weighting approach using simulation studies in which we investigate whether the method provides unbiased estimates of ...
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Sensitivity analysis for parametric vector optimization problems using differential equations approach
... obtaining sensitivity information for parametric vector opti- mization problems (VOP) v is presented, where the parameters in the objective functions and anywhere in the ...
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A statistic approach of multi-factor sensitivity analysis for service-oriented software systems.
... > The Layered Queuing Network Model (LQN) LQN was an extension of QN model. LQN extends the QN model to reflect interactions between client and server processes. The processes can be shared devices and software servers. ...
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Assessing spatial uncertainties of land allocation using the scenario approach and sensitivity analysis
... The Dyna-CLUE model uses results of the LEITAP sensitivity analysis for estimating the high resolution spatial consequences of the estimated uncertainties. The Dyna-CLUE model applies a downscaling ...
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Global sensitivity analysis of the climate–vegetation system to astronomical forcing: an emulator-based approach
... Brovkin et al., 2003). 5. Our methodological approach allows us to document re- sponse phases of precipitation patterns associated with the African monsoon. In particular, we found that the northward penetration ...
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Rating firms and sensitivity analysis
... The 18 attributes selected represent a minimum set of meaningful risk components and profiles. The choice depends on our operational experience in corporate finance practice (debt restruc- turing in particular) and on ...
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Sensitivity Analysis of the Replacement Problem
... Another important approach that has received the problem is the geometric programming [12]. In its proposal, the author discusses the application of this technique to solving replacement problem with an infinite ...
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Sensitivity analysis with χ2-divergences
... a sensitivity analysis framework based on the χ 2 -divergence, to investigate in a coherent fashion the relationship between a model’s inputs and ...to sensitivity analysis are considered; for ...
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Metamodel construction for sensitivity analysis
... This approach was considered by Blatman and Sudret [5] who propose a method for truncating (such that to keep polynomials with degree less than some integer) the polynomial Chaos expansion and then an algorithm ...
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CONFLICT ANALYSIS & CONFLICT SENSITIVITY
... Conflict analysis and conflict sensitivity is a new specialization course in the ENTRi project for civilian crisis ...conflict analysis and conflict sensitivity into mission ...conflict ...
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