Examples of using Sensitivity analysis in English and their translations into Vietnamese
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A sensitivity analysis will be performed.
Ideally, uncertainty and sensitivity analysis should be run in tandem.
Sensitivity analysis can also be used to identify the redundant species and reactions allowing model reduction.
Provides a useful discussion of sensitivity analysis and risk modelling in CBA.
This sensitivity analysis confirms that Model 4 is the most appropriate.
Further, VanderWeele(2015) offers a book-length treatment with a number of important results,including a comprehensive approach to sensitivity analysis.
How to do sensitivity analysis with data table in Excel?
The application enables you to view the properties of the pure component, calculate the critical point, perform hydrate calculations,as well as conduct thorough sensitivity analysis and multi-variate optimizations.
Sensitivity analysis has been proven to be a powerful tool to investigate a complex kinetic model.[58][59][60].
The study uses atool called a Levelised Cost of Electricity(LCOE) sensitivity analysis to compare the power-generation costs of four new-build coal, gas, wind and solar plants.
The sensitivity analysis is a technique that indicates how much NPV will change in response to a given change in an input variable, other things held constant.
In the concept development stage, the RPNs may be used to compare various designs and select the best among them,or as an input to sensitivity analysis when combining features of the best concepts.
For example, the sensitivity analysis may show that if unit sales grow at 10 percent per year or more, the investment is a good one.
Whether and, if so, how management has considered alternative assumptions or outcomes by, for example,performing a sensitivity analysis to determine the effect of changes in the assumptions on an accounting estimate.
Sensitivity analysis can be used to identify the influential parameters which can be determined from available data while screening out the unimportant ones.
The researchers chose midrange numbers from a wide range of values in existing data andalso conducted a sensitivity analysis to test how key components such as crop yield and managing household waste affected the model.
In both cases sensitivity analysis may help to understand the contribution of the various sources of uncertainty to the model output uncertainty and the system performance in general.
In more general terms uncertainty and sensitivity analysis investigate the robustness of a study when the study includes some form of mathematical modelling.
Sensitivity analysis answers the question, if these variables deviate from expectations, what will the effect be(on the business, model, system, or whatever is being analyzed), and which variables are causing it?
However, Discounted Cash Flow models, sensitivity analysis, and simulation can give investors a handle on probable ranges in which an investment might fall in forms of risk management.
Sensitivity analysis can be used for optimal experimental design, e.g. determining initial conditions, measurement positions, and sampling time, to generate informative data which are critical to estimation accuracy.
Barclays did a sensitivity analysis using government data to determine what would happen if all US imports and exports to and from the entire world faced 10% tariffs.
A sensitivity analysis could lead to the development of a number of outcome scenarios, sometimes characterised as a range of outcomes by management, such as“pessimistic” and“optimistic” scenarios.
A sensitivity analysis in patients with diabetes mellitus and in patients with chronic renal disease also did not show a reduction in any of the mortality and morbidity outcomes with lower targets as compared with standard targets.
Sensitivity analysis is the study of how the uncertainty in the output of a mathematical model or system(numerical or otherwise) can be apportioned to different sources of uncertainty in its inputs.
The sensitivity analysis presented in the paper allows farmers to make their own educated guesses on inputs based on what their local utility's electric rates and what price the farmers are quoted for a photovoltaic farm on their land, then make the decision that makes the most sense for them.
They employed ever or never use for the main analysis anda cut-off of at least 3 months' prescriptions for the sensitivity analyses.
Although LCn3 appeared to reduce CHD events slightly(RR: 0.93; 95% CI: 0.88- 0.97)these effects were not maintained in sensitivity analyses.