sensitivity analysis

listen to the pronunciation of sensitivity analysis
Englisch - Türkisch
(Askeri,Teknik,Ticaret) duyarlılık analizi
duyarlılık çözümlemesi
(Nükleer Bilimler) duyarlılık (hata) analizi
(Askeri) DUYARLILIK ÇÖZÜMLEMESİ (ANALİZİ)
hassasiyet analizi
Englisch - Englisch
Sensitivity analysis is the study of how the variation in the output of a model (numerical or otherwise) can be apportioned, qualitatively or quantitatively, to different sources of variation
An analytical process by which the results and conclusions of an economic analysis are assessed for robustness
systematic procedure for estimating the effects on the outcome of a study of the chosen methods and data
The concern with how the solution changes if some changes are made in either the data or in some of the solution values (by fixing their value) Marginal analysis is concerned with the effects of small perturbations, maybe measurable by derivatives Parametric analysis is concerned with larger changes in parameter values that affect the data in the mathematical program, such as a cost coefficient or resource limit
An analytical procedure to determine how the results of a study would change if the facts were different or different studies included This is chiefly important in meta-analysis or complex techniques such as decision analysis and cost-effectiveness analysis
Determination of the extent to which model behavior (output) varies as model parameters are varied
In its narrow sense, computing or approximating the jacobian of the simulator at the `best' input However, in use this term seems to be muscling in on the territory of Uncertainty analysis [JCR, 17 04 00]
used to recognize the effects of a user-defined design variable on the analysis results
a systematic and comprehensive test to evaluate how changes in the parameters of a model affect the model's output Often used to identify influential parameters
A risk analysis technique in which key variables are changed one at a time and the resulting changes in the NPV and IRR are observed
presentation of possible results and ways to create the result in a process which involves uncertain factors by assigning different values for these factors
Used in life cycle cost (LCC) analyses to determine how robust a particular alternative is, and how sensitive the overall cost is to certain variables
Technique used to determine the effects on net income or cash flow due to changes in assumptions, i e , "what-if" analysis
Varying the parameters of a model to assess the change in its output
used to test the project for changes in the assumed values of key variables
(Ticaret) The process of varying parameters in a given model to assess the level of change in its output
The process of calculating the sensitivities
A process of examining specific tradeoffs that would result from making changes in single elements of a plan alternative
A method used by economists (and others) to test whether variations in assumptions affect the conclusions of a cost-benefit or similar study {2} Use your browser's "BACK" button to return to the page you were viewing previously
A method of analyzing the results of a sensitivity test Because a sensitivity test does not provide individual measures of the critical stress levels of members of the sample, it is not possible to compute an estimate of the mean in the normal manner of adding up the values and dividing by the sample size It is similarly difficult to calculate the estimate of the standard deviation
Varying the value of a parameter to find the extent to which the change affect the results of the analysis If a small change in an assumption results in a proportionately greater change in the results, then the results are said to be "sensitive" to that assumption or parameter
Analysis of how sensitive outcomes are to changes in the assumptions The assumptions that deserve the most attention should depend largely on the dominant benefit and cost elements and the areas of greatest uncertainty of the program or process being analyzed [GAO]
is a term applied to a range of techniques employed to assess how solutions derived from GIS systems are affected by the accuracy and precision of data employed in the analysis Sensitivity analysis allows users to gauge how errors will affect solutions and provides various means for estimating the precision with which data must be gathered in order to reach the goals a system is designed to meet
The analysis of the possible effects of adverse changes on a project Values of key variables are changed one at a time, or in combinations, to assess the extent to which the overall project result, measured by the economic net present value, would be affected Where the project is shown to be sensitive to the value of a variable that is uncertain, that is, where relatively small and likely changes in a variable affect the overall project result, mitigating actions at the project, sector, or national level should be considered, or a pilot project implemented
Analyses that determine the impact of changing one or several variables in a model or analysis on the outcome of the analysis A sensitivity analysis allows a range of plausible inputs to be considered when there is uncertainty about the true value of an input An example is comparing results using a discount rate of 3% with result using rates of 5% and 10%
sensitivity analysis

    Silbentrennung

    sen·si·ti·vi·ty a·na·ly·sis

    Türkische aussprache

    sensîtîvîti ınälısıs

    Aussprache

    /ˌsensəˈtəvətē əˈnaləsəs/ /ˌsɛnsɪˈtɪvɪtiː əˈnæləsəs/
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