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due to data uncertainties

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "due to data uncertainties" is correct and usable in written English.
It can be used when explaining reasons for a decision, conclusion, or situation that is affected by unclear or unreliable data. Example: "The project timeline has been adjusted due to data uncertainties that have emerged during the research phase."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

First, a parametric probabilistic model is constructed for analysing the sensitivity of the response due to data uncertainties.

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

In the presence of both aleatory and epistemic uncertainty, two challenges are addressed in this paper for the model-based computation of the Sobol indices: due to data uncertainty, input distributions are not precisely known; and due to model uncertainty, the model output is uncertain even for a fixed realization of the input.

Recharge to the bedrock is estimated at ∼27% of the annual precipitation over the period 2005 2010, recognizing the uncertainty in this estimate due to data limitations, parameter uncertainty and calibration errors.

This nonparametric method for uncertainty analysis quantifies uncertainty due to measurement repetition and establishes that the uncertainty due to data discretization is the minimum achievable uncertainty.

Some of the uncertainty including errors due to data dispersion around the mean measured and systematic errors in determining the (CRR) and (CSR) are also considered in this method.

While previous studies have largely focused on uncertainties in code predictions due to nuclear data uncertainties, this study discusses uncertainties in calculated decay heat due to uncertainties in assembly modeling parameters as well as in nuclear data.

Such an approach may fail to enhance the confidence in simulation-based predictions when the dynamical systems exhibit significant variability in the parameterization and description of the mathematical model due to parametric (data) uncertainty and model uncertainty.

Due to high uncertainties, data on individual KS and C domains are not shown (n.s).s

Radiometric calibration and atmospheric corrections are essential before any processing to reduce data uncertainty due to measuring instruments and atmospheric perturbations.

Due to the pervasive data uncertainty in many real applications, efficient and effective query answering on uncertain data has recently gained much attention from the database community.

We propose that a multi-model approach should be preferred and a suite of possible predictions considered if biases due to uncertainty in data and model formulation are to be minimised.

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Expert writing Tips

Best practice

When using "due to data uncertainties", clearly specify which data and what types of uncertainties are affecting your analysis or conclusion. This adds clarity and strengthens your argument.

Common error

Avoid using "due to data uncertainties" without specifying the nature of those uncertainties. Be specific about whether it's related to data collection methods, sample size, or inherent limitations of the data itself. For example, avoid saying "The results are inconclusive due to data uncertainties." Instead, specify the issue: "The results are inconclusive due to uncertainties in the data arising from a limited sample size."

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

80%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "due to data uncertainties" serves as an adverbial phrase that introduces a cause or reason. It explains why something is happening or why a particular conclusion has been reached. According to Ludwig, the phrase is correct and usable in written English.

Expression frequency: Common

Frequent in

Science

60%

News & Media

20%

Formal & Business

20%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "due to data uncertainties" functions as a causal connector, commonly employed in formal and scientific writing to explain how ambiguous or unreliable data affects outcomes. Ludwig AI confirms the phrase's correctness and usability. To enhance clarity, specify which data and uncertainties are in question. For alternatives, consider "owing to uncertain data" or "because of data ambiguities". Remember, clearly defining the specific uncertainties bolsters the strength of your explanation.

FAQs

How can I use "due to data uncertainties" in a sentence?

Use "due to data uncertainties" to explain that data ambiguities, imprecision, or limitations are influencing the results or outcomes of a study or analysis. For instance, "The model's predictions are less accurate "due to data uncertainties" in the initial measurements".

What are some alternatives to "due to data uncertainties"?

You can use alternatives like "owing to uncertain data", "because of data ambiguities", or "attributable to data limitations" depending on the specific context.

Is it better to say "due to data uncertainty" or "due to data uncertainties"?

"Due to data uncertainties" is generally preferred when referring to multiple sources or types of uncertainty. If the uncertainty is a single, general factor, "due to data uncertainty" might be appropriate, but the plural form is more common.

What's the difference between "due to data limitations" and "due to data uncertainties"?

"Due to data limitations" refers to restrictions or inadequacies in the data available (e.g., sample size or range). "Due to data uncertainties" refers to imprecision, ambiguity, or unreliability in the data itself. "Due to data limitations" suggests the data isn't comprehensive enough; "due to data uncertainties" suggests the data might not be fully trustworthy.

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Most frequent sentences: