implement uncertainty

USAGE SUMMARY

The phrase "implement uncertainty" is correct and usable in written English.
It can be used in contexts where you are discussing the introduction or application of uncertainty in a process, system, or model. Example: "To improve the robustness of our predictions, we need to implement uncertainty in our forecasting models."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

If one wants to implement uncertainty analysis of β T and Ω T, informative priors for β T and Ω T should be used to avoid a failure to converge, as those four parameters are not identifiable given the trinomial incidence assay data: prevalence, incidence, β T and Ω T. The performance of this new approach should be further tested with actual incidence data.

AIDS

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

This article develops and implements uncertainty methods for hybrid LCA.

Journal of Cleaner Production

This paper presents recent advances in (a) modelling the combined hydrodynamic responses of ship structures using cross-spectral combination methods and (b) in implementing uncertainty models used for the development of modern decision support systems as guidance to ship's master.

Ocean Engineering

By implementing realistic uncertainty factors for binary diffusion coefficients and chemical kinetic parameters, the measured experimental uncertainty of laminar flame propagation velocity (S0L) is shown to be greater than the uncertainty on predicted S0L propagated from the binary diffusion coefficient parametric space.

Combustion and Flame

We defined ranges of Mex by implementing the uncertainty of chemical analyses.

Journal of Contaminant Hydrology

Here, we implement a dedicated uncertainty processor, that can be used within operational flood forecasting systems.

Journal of Hydrology

Most of previous studies implement probabilistic-based uncertainty analysis, which requires detailed information to define probability for input factors.

Procedia Engineering

First, case definitions, surveillance methods, data collection forms, and informational materials had to be developed ad hoc throughout the investigation, resulting in delays in implementing surveillance, uncertainties as to the effectiveness of and person-hours required by the case-finding methods, and inefficiencies in the data collection process.

Emerging Infectious Diseases

This paper analyzes the incentives of a government facing electoral uncertainty to implement structural reforms in the presence of a deficit restriction.

Journal of Macroeconomics

A Bayesian inference based approach DREAM ZS) (DiffeRential Evolution Adaptive Metrololis algorithm) was combined with HYPE to implement model optimisation and uncertainty analysis on streamflow and streamwater IN concentration simulations at a nested meso scale catchment in central Germany.

Journal of Hydrology

A two-phase-two-stage stochastic multi-objective optimization problem (2P2SSMOOP) solving approach is implemented to consider uncertainty, and the ε-constraint method is used to evaluate the interaction between total annual cost with financial risk and an Eco-indicator 99 score with environmental risk.

Applied Energy

Expert writing Tips

Best practice

When discussing statistical models or simulations, clearly define how you "implement uncertainty", specifying the methods or parameters used to represent variability.

Common error

Avoid vague statements about "implementing uncertainty" without detailing the actual methods. Be precise about how uncertainty is being modeled or incorporated into your analysis.

Linguistic Context

The phrase "implement uncertainty" functions as a verb phrase, indicating the action of introducing or applying uncertainty within a system, model, or process. Ludwig AI validates its proper usage in various contexts, particularly in scientific and technical fields.

Expression frequency: Very common

Frequent in

Science

87%

News & Media

7%

Formal & Business

6%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "implement uncertainty" is a commonly used verb phrase, particularly in scientific and technical contexts, to describe the action of incorporating methods to represent uncertainty. Ludwig AI analysis confirms its correctness and suitability for expressing the introduction or application of uncertainty within models and systems. When using this phrase, it is important to be specific about the methods employed and the context in which uncertainty is being considered. Alternatives such as "incorporate uncertainty", "introduce uncertainty", and "account for uncertainty" can provide nuanced variations in meaning. Remember to avoid vagueness and clearly define how uncertainty is being modeled or included in your analysis for effective communication.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

incorporate uncertainty

Replaces "implement" with "incorporate", focusing on the integration of uncertainty into a system or model.

introduce uncertainty

Substitutes "implement" with "introduce", highlighting the act of bringing uncertainty into a situation.

apply uncertainty

Uses "apply" instead of "implement", emphasizing the practical application of uncertainty in analysis or modeling.

integrate uncertainty

Similar to "incorporate", but with a focus on making uncertainty an integral part of a process.

model uncertainty

Focuses on the creation of a model that accounts for uncertainty.

account for uncertainty

Emphasizes the consideration and management of uncertainty within a system or analysis.

address uncertainty

Highlights the act of dealing with uncertainty directly.

manage uncertainty

Focuses on controlling and mitigating the effects of uncertainty.

consider uncertainty

Emphasizes the act of taking uncertainty into account during planning or analysis.

factor in uncertainty

Similar to "consider uncertainty", but with a stronger emphasis on including it as a key element.

FAQs

How do you "implement uncertainty" in a model?

You can "implement uncertainty" in a model by using techniques such as Monte Carlo simulations, Bayesian methods, or fuzzy logic. These methods allow you to incorporate probabilistic or non-probabilistic representations of uncertainty into your model parameters or structure.

What's the difference between "implement uncertainty" and "account for uncertainty"?

"Implement uncertainty" refers to the specific methods or techniques used to introduce uncertainty into a model or system. "Account for uncertainty", on the other hand, is a broader term that encompasses all the ways you consider and manage uncertainty in your analysis or decision-making process.

What are some scenarios where I might need to "implement uncertainty"?

You might need to "implement uncertainty" in financial modeling to account for market volatility, in climate modeling to represent variations in weather patterns, or in risk assessment to consider the probability of different adverse events.

What is the difference between "incorporate uncertainty" and "implement uncertainty"?

Incorporate uncertainty and "implement uncertainty" are very similar. Incorporate uncertainty emphasizes the integration aspect, whereas "implement uncertainty" highlights the concrete application of methods to represent uncertainty.