strength of error

USAGE SUMMARY

The phrase "strength of error" is correct and usable in written English.
It can be used in contexts discussing the magnitude or significance of an error, particularly in fields like statistics, science, or engineering. Example: "The strength of error in our calculations indicates a need for more precise measurements to ensure accuracy."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

3 human-written examples

This extra a priori knowledge can be identified as a definite strength of error concealment compared to speech enhancement.

EURASIP Journal on Advances in Signal Processing

Finally, we discuss commonalities and differences between both approaches, identify a particular strength of error concealment in general, and provide possible research directions for speech enhancement.

EURASIP Journal on Advances in Signal Processing

The strength of error computed between the given image and the original (reference) image is weighted based on known features of the HVS.

EURASIP Journal on Image and Video Processing

Human-verified similar examples from authoritative sources

Similar Expressions

57 human-written examples

For example, t-norms can be used to model the strength of soft error propagation and copulas give some insight into Gaussian error propagation.

Structural Safety

The work shows how a system can be tuned to operate at different degrees of this trade-off, and also the performance which can be achieved in terms of BER/PER, spectral efficiency, and interarrival, duration, strength of the error bursts.

EURASIP Journal on Wireless Communications and Networking

Is error awareness an all-or-nothing prerequisite for some adjustments, or is there a gradual correlation of the adjustments with the strength of the error signal resulting in awareness?

Brain Structure and Function

She had the best long skate yesterday, but Butyrskaya won on the strength of an error-free short program.

The New York Times - Sports

The uncertainty on optimal parameter estimates is influenced by the strength of measurement errors and it is not significantly diminished or increased by adding noisy reciprocal information.

Journal of Hydrology

To better understand the effects of transmission errors we have first analyzed the frame-by-frame PSNR at a given bit rate, so as to analyze the temporal behavior of each codec, and so as to understand their strength in terms of error resilience.

EURASIP Journal on Image and Video Processing

As Sara told the journalism students, once an error gets into print it "will live on and on in libraries carefully catalogued, scrupulously indexed... silicon-chipped, deceiving researcher after researcher down through the ages, all of whom will make new errors on the strength of the original errors, and so on and on into an exponential explosion of errata".

The New Yorker

Some systems such as the AIMS-ICU (Australian Incident Monitoring Study in Intensive Care) and the ICUSRS (Intensive Care Unit Safety Reporting System) have been developed with the goal of balancing the strengths and limitations of error reporting [ 72].

Critical Care

Expert writing Tips

Best practice

When discussing the "strength of error" in a quantitative context, always specify the units of measurement or the scale being used to evaluate the error's magnitude.

Common error

Avoid assuming that a small "strength of error" automatically indicates high accuracy. Consider the context, potential systematic errors, and the limitations of the measurement methods.

Linguistic Context

The phrase "strength of error" functions as a noun phrase, often used to quantify or describe the magnitude or impact of an error in a given context. As Ludwig AI states, it is usable in written English, especially in scientific and technical fields.

Expression frequency: Rare

Frequent in

Science

60%

News & Media

20%

Formal & Business

20%

Less common in

Wiki

0%

Encyclopedias

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "strength of error" is a valid and usable term, primarily found in scientific and technical contexts, as confirmed by Ludwig AI. It refers to the magnitude or impact of an error, often quantified using statistical measures. While not very frequent, its use is grammatically correct and the alternatives such as "magnitude of error" or "degree of error" can be used in different situations. When using this phrase, consider the context and potential implications of the error's magnitude.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

magnitude of error

Replaces "strength" with "magnitude", focusing on the size of the error.

degree of error

Substitutes "strength" with "degree", indicating the extent or level of the error.

extent of error

Replaces "strength" with "extent", emphasizing the scope or range of the error.

severity of error

Substitutes "strength" with "severity", highlighting the seriousness or gravity of the error.

impact of error

Replaces "strength" with "impact", focusing on the effect or consequence of the error.

intensity of error

Substitutes "strength" with "intensity", describing the concentrated force or power of the error.

level of error

Replaces "strength" with "level", focusing on the hierarchical position or rank of the error.

seriousness of the mistake

Replaces error with mistake, and highlights the weight of the error.

scale of inaccuracy

Replaces error with inaccuracy, describing the scope of the deviation from correctness.

significance of the flaw

Replaces error with flaw, adding a sense of structural deficiency or imperfection.

FAQs

How can I express the magnitude of an error?

You can use phrases like "degree of error", "extent of error", or "magnitude of error" to describe how significant an error is.

What does "strength of error" mean in scientific research?

In scientific research, "strength of error" typically refers to how much the error affects the validity or reliability of the results. It is closely related to the "severity of error".

How do you measure the "strength of error" in a calculation?

The "strength of error" is often quantified using statistical measures such as standard deviation, root mean square error (RMSE), or confidence intervals. The choice of measure depends on the type of error and the goals of the analysis.

In what contexts is the phrase "strength of error" commonly used?

The phrase "strength of error" is commonly used in fields like statistics, science, and engineering where it's necessary to evaluate the impact of inaccuracies on results and conclusions.