realistic error

USAGE SUMMARY

The phrase "realistic error" is correct and usable in written English.
It can be used to describe an error that is plausible or believable within a given context, often in discussions about data, predictions, or simulations. Example: "The model produced a realistic error that reflected the uncertainties in the data used for analysis."

✓ Grammatically correct

Science

Earth Sciences

Genomics

Medicine

Risk Management

Human-verified examples from authoritative sources

Exact Expressions

16 human-written examples

Finally, we assessed the accuracy of present Terrestrial Reference Frame realizations and derived a realistic error budget for this specific source of error.

Advances in Space Research

The new deconvolution algorithm optimizes ABIC not only for smoothness of the signal but also for realistic error in sample length and shift in measurement position introduced during sampling and measurement in the laboratory.

Earth, Planets and Space

It would also have been possible to reduce random error by marking the landmarks on the mandibles prior to scanning them, which was not done because we wanted more realistic error estimates.

Progress in Orthodontics

However, the errors in the GGM could also be quantified if the full error variance covariance matrix of the spherical coefficients is known, and a more realistic error variance covariance matrix of the data could be estimated through error propagation.

Earth, Planets and Space

The performance metrics obtained after our simulations suggest that, in the best cases, the basic packet error model may obtain reliable results (i.e., results similar to those from a realistic error model).

Vehicular Communications

This paper provides a risk analysis model that includes the capabilities of the above functional elements in order to guide the risk management, which includes attention to the effect of realistic error, e.g. of risk classification and risk damage assessment.

IFAC Proceedings Volumes

Human-verified similar examples from authoritative sources

Similar Expressions

44 human-written examples

Furthermore, a realistic error-prone model channel was used to measure the impact of interferences against an error-free channel.

EURASIP Journal on Wireless Communications and Networking

The model is relatively insensitive to realistic errors in sensor depth and thermal conductivity.

Journal of Hydrology

Oda and Xuan (2014) recently developed an improved deconvolution algorithm based on ABIC minimization method considering realistic errors in sample length and measurement position.

Earth, Planets and Space

Three-year-olds are unable to switch perspectives, thereby resulting in difficulties that lead them to make a high percentage of realistic errors.

Lingua Sinica

As realistic errors will likely be more complex than the mean zero, independent, and normally distributed errors added here, the SD_BFE case likely provides an approximate estimate of the impact of atmospheric transport-related errors on detectability.

Geophysical Research Letters

Expert writing Tips

Best practice

When modeling or simulating systems, use "realistic error" values derived from empirical data to ensure the model accurately reflects real-world uncertainties.

Common error

Avoid assuming that errors are always normally distributed. Use appropriate statistical tests to verify the error distribution and choose a model that reflects the actual error characteristics.

Linguistic Context

The phrase "realistic error" functions as an adjective-noun combination. The adjective "realistic" modifies the noun "error", indicating that the error is plausible and reflective of actual conditions. Ludwig AI confirms its usability and provides examples of its application in various contexts.

Expression frequency: Common

Frequent in

Science

80%

News & Media

10%

Formal & Business

10%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "realistic error" is a grammatically sound and frequently used term, particularly in scientific and technical domains, as confirmed by Ludwig AI. It signifies an error that is plausible and aligns with real-world conditions. When writing, it's crucial to consider using values derived from empirical data to ensure accuracy. Be mindful of error distributions and avoid assuming normality without validation. Alternatives such as "plausible error" or "reasonable error" can be used depending on the specific nuance you wish to convey. By incorporating "realistic errors" into models and analyses, you can improve the validity and applicability of your findings.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

plausible error

Focuses on the believability or likelihood of the error occurring.

reasonable error

Emphasizes that the error is within acceptable or expected bounds.

expected error

Highlights that the error was anticipated or is typical for the situation.

realistic mistake

Replaces "error" with "mistake", providing a more general term.

genuine error

Suggests the error is authentic and not artificial or contrived.

credible error

Focuses on the trustworthiness or reliability of the error assessment.

likely error

Highlights the probability of the error occurring.

typical error

Indicates that the error is commonly observed in similar scenarios.

real-world error

Emphasizes the error's relevance to actual, practical situations.

believable error

Highlights that the error is easy to accept as true or possible.

FAQs

How can I use "realistic error" in a sentence?

You can use "realistic error" to describe the level of error that is likely to occur in a real-world situation, such as: "The model incorporates a "realistic error" margin to account for data inaccuracies."

What's a good alternative to using "realistic error"?

Depending on the context, you could use alternatives like "plausible error", "reasonable error", or "expected error".

What does it mean to account for "realistic error" in a model?

Accounting for "realistic error" means acknowledging and incorporating the types and magnitudes of errors that are likely to occur in a real-world scenario into a model, improving its predictive accuracy and reliability.

Why is using a "realistic error" rate important in simulations?

Using a "realistic error" rate in simulations helps to ensure that the simulation results are representative of real-world outcomes and that any conclusions drawn from the simulation are valid and applicable.