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Sensitivity Analyses on SCV and decision variables

SENSITIVITY ANALYSIS AS A MANAGERIAL DECISION

SENSITIVITY ANALYSIS AS A MANAGERIAL DECISION

... input variables and model ...speaking, sensitivity analysis is used to increase the reliability of a given model and its predictions by providing understanding of how model variables react to the ...

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WHAT IF ANALYSES IN INVESTMENT DECISION MAKING

WHAT IF ANALYSES IN INVESTMENT DECISION MAKING

... a sensitivity analysis is to freeze all of the variables except one and then see how sensitive our estimate of NPV is to changes in that one ...how sensitivity analysis works, we go back to our base ...

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Neural and Computational Representations of Decision Variables

Neural and Computational Representations of Decision Variables

... C h a p t e r 2 STIMULUS-DEPENDENCY OF VALUE ENCODING IN VMPFC 2 In order to choose between manifestly distinct options it is suggested that the brain assigns values to goals using a common currency. While previous ...

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Sampling and sensitivity analyses tools (SaSAT) for computational modelling

Sampling and sensitivity analyses tools (SaSAT) for computational modelling

... of variables is to be ...correlation analyses could be carried out by taking the pairing of each outcome variable and each input parameter in turn, but it would be unwieldy and would fail to reveal more ...

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DEFINING THE PSYCHOMETRIC PROPERTIES OF THE WRITING SENSITIVITY SCALE AND ANALYSING WRITING SENSITIVITY WITH REGARD TO DIFFERENT VARIABLES

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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High dimensional output surrogate models for uncertainty and sensitivity analyses

High dimensional output surrogate models for uncertainty and sensitivity analyses

... A1.1.2 Finite Volume Method A numerical method that has been used in many research fields such as Compu- tational Fluid Dynamics, electromagnetics etc. is the Finite Volume Method. It has the advantage of being able to ...

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Efficient Computational Methods for Structural Reliability and Global Sensitivity Analyses

Efficient Computational Methods for Structural Reliability and Global Sensitivity Analyses

... Another approach for the objective can be realized by repetitively executing an established deterministic code on a prescribed node in the random space. Upon completing the simulations, a postprocessing procedure is ...

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Sensitivity of Matching-Based Program Evaluations to the Availability of Control Variables

Sensitivity of Matching-Based Program Evaluations to the Availability of Control Variables

... tion as well as work, occupation and industry-specific experience but also local labour market conditions. According to the German legislation, the latter also have a direct impact on the participation decision. ...

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Sensitivity of matching-based program evaluations to the availability of control variables

Sensitivity of matching-based program evaluations to the availability of control variables

... tion as well as work, occupation and industry-specific experience but also local labour market conditions. According to the German legislation, the latter also have a direct impact on the participation decision. ...

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Performance Appraisal in The Nigerian Banking Sector: The Individual and Joint Variables Analyses

Performance Appraisal in The Nigerian Banking Sector: The Individual and Joint Variables Analyses

... performance standard, appraising performance, setting performance plans and managing career and mobility (Moorhead and Griffin, 2006). Performance appraisal provides information to help managers manage in such a way that ...

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Residential Load Manageability Factor Analyses by Load Sensitivity Affected by Temperature

Residential Load Manageability Factor Analyses by Load Sensitivity Affected by Temperature

... Reference [1] proposes a scheduling strategy based on real-time pricing in smart grids. Also a hierarchical game is employed to analyze the decision-making process of generators and consumers. It proves the ...

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Uncertainty and sensitivity analyses in seismic risk assessments on the example of Cologne, Germany

Uncertainty and sensitivity analyses in seismic risk assessments on the example of Cologne, Germany

... However, it should also be kept in mind that a given source of uncertainty cannot often be neatly separated into these types, with many sources containing elements of both. While solving problems of seismic risk ...

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The Elasticity of Taxable Income during the 1990s: New Estimates and Sensitivity Analyses

The Elasticity of Taxable Income during the 1990s: New Estimates and Sensitivity Analyses

... offs (or floors) are imposed in order to lessen influences from mean reversion on the esti- mates. When imposing a $50,000 income cutoff, the income-weighted estimated ETI is 0.33 when measuring responses over three-year ...

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RESOLUTION NO. SCV-133

RESOLUTION NO. SCV-133

... The foregoing resolution was adopted by the Board of Supervisors of the County of Los Angeles, the Board of Directors of Santa Clarita Valley Sanitation District of Los Angeles[r] ...

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RESOLUTION NO. SCV-89

RESOLUTION NO. SCV-89

... The foregoing resolution was adopted by the Board of Supervisors of the County of Los Angeles, the Board of Directors of Santa Clarita Valley Sanitation District of Los Angel[r] ...

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A Framework for Analyses with Numeric and Categorical Dependent Variables. An Exercise in Using GLM. Analyses with Categorical Dependent Variables

A Framework for Analyses with Numeric and Categorical Dependent Variables. An Exercise in Using GLM. Analyses with Categorical Dependent Variables

... Numeric Variables as Predictors If your dependent variable is categorical, and the predictor is a numeric variable, you could use logistic regression for an ...two variables by reversing the analysis and ...

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Sensitivity indices for independent groups of variables

Sensitivity indices for independent groups of variables

... In this paper, we give new theoretical results about the variance-based sensitiv- ity indices for independent groups of inputs. These results drastically reduce the computational cost of these indices when the model is ...

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Personality Variables in Decision - Making

Personality Variables in Decision - Making

... Abstract Decision-making is one of the elementary competences of any person who holds a managerial ...of decision–making styles of school managers and the implications of the non-cognitive factors in making ...

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Endogenous choice of decision variables

Endogenous choice of decision variables

... of decision variables has been investigated in the literature for homogeneous good oligopoly markets by Dastidar (1996) and Qin and Stuart ...their decision variables in stage 1 and the ...

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Sizing and Sensitivity Analyses of High Altitude Airship

Sizing and Sensitivity Analyses of High Altitude Airship

... Humera Sultana 1 , Sunitha Yerranagu 2 , K Veeranjaneyulu 3 1 M.Tech Student, 3 Associate Professor, MLR Institute of Technology 2 B.Tech Graduate, CMR Technical Campus Abstract—This paper will describe a methodology for ...

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