smallest error

USAGE SUMMARY

The phrase "smallest error" is correct and can be used in written English.
It is typically used to describe a mistake or inaccuracy that is very small or minor. Example: "I proofread my essay multiple times to ensure that there were no spelling or grammar mistakes, but even the smallest error can affect the overall quality of a piece of writing."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

He spins away in disgust at the smallest error, only to snap around immediately to watch the game again.

The New York Times - Sports

Model 3 showed the smallest error (16%) in the air velocity estimated in the treatment plane.

Computers and Electronics in Agriculture

"If you make the smallest error then you will slide straight into the gravel before you know it".

The New York Times - Sports

In conclusion, the Hashin and Puck failure theories are recommended because they have the smallest error compared to experimental data.

Mechanics of Materials

The axial motion of the spindle is measured to be approximately 5 nm, which is the smallest error motion.

Precision Engineering

The use of the Patel Teja EOS resulted in the smallest error in the liquid phase density representation.

The Journal of Supercritical Fluids

The reduced mechanism having the least CPU time requirement among the ones having almost the smallest error is selected.

Combustion and Flame

The cosmological parameters can be measured with the smallest error bars possible by performing a brute force likelihood analysis on the TOD - in principle.

Massachusetts Institute of Technology

This new body frame based method utilizes the concept of Euleraxis and angles to generate the smallest error angles from a body frame perspective, without coordinate transformations.

ISA Transactions

For future high-precision CMB experiments, parameter estimation with a simple chi-squared model fit to the observed power spectrum will give virtually the smallest error bars possible (section 5.4 in Tegmark 1996).

Massachusetts Institute of Technology

Choose predictor with smallest error.

Human-centric Computing and Information Sciences

Expert writing Tips

Best practice

When aiming for utmost precision, always quantify and specify the "smallest error" achieved or tolerated. Contextualize it with units of measurement, statistical confidence, or comparative benchmarks.

Common error

Avoid stating the "smallest error" in isolation without explaining its impact within the specific context. It is critical to explain why this minimal error matters and what implications it has for the analysis, result, or process.

Linguistic Context

The phrase "smallest error" functions as a noun phrase where the adjective "smallest" modifies the noun "error". It's used to identify and emphasize the minimal extent of an inaccuracy or mistake. As Ludwig AI confirms, the expression is correct and common in English.

Expression frequency: Very common

Frequent in

Science

70%

News & Media

15%

Formal & Business

10%

Less common in

Academia

3%

Encyclopedias

1%

Wiki

1%

Ludwig's WRAP-UP

The phrase "smallest error" is a common and grammatically correct way to describe the minimal level of inaccuracy, often used in scientific, technical, and formal contexts. Ludwig AI confirms its validity and provides numerous examples across diverse sources. While accuracy is generally valued, it's crucial to consider the contextual significance of the "smallest error" and its implications within the specific domain. Related phrases like "minimal deviation" or "negligible inaccuracy" offer alternative ways to express the same concept.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Least amount of error

Replaces "smallest" with "least amount", which is another way of describing minimal quantity.

Least significant mistake

Replaces "error" with "mistake" and uses "least significant" instead of "smallest", emphasizing the lack of importance.

Minimal deviation

Uses "deviation" to replace "error", suggesting a departure from a standard or expected value, and "minimal" instead of "smallest".

Negligible inaccuracy

Substitutes "error" with "inaccuracy" and uses "negligible" to convey that the error is so small it can be ignored.

Tiniest fault

Employs "fault" instead of "error", implying a defect or imperfection, and "tiniest" instead of "smallest" for emphasis.

Lowest margin of error

Focuses on the "margin of error", which is the range within which the true value is likely to fall, and uses "lowest" to mean smallest.

Acceptable level of error

Shifts the focus to an acceptable threshold rather than the absolute minimum error, implying that the error is within tolerable limits.

Residual error

Describes the error remaining after a process or calculation, suggesting it is the part that could not be eliminated.

Ultimate precision

Focuses on the quality of precision, which implies minimizing error to the greatest extent possible.

Optimum accuracy

Highlights that the accuracy is the best possible, thus implying that error is minimized to an optimal level.

FAQs

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

You can use "smallest error" to describe the most accurate result or the most precise method in a study. For example, "Our new algorithm produced the "smallest error" in predicting stock prices".

What does "smallest error" mean in statistical analysis?

In statistical analysis, "smallest error" typically refers to the minimal difference between predicted and actual values, indicating a high degree of accuracy and reliability. Researchers aim to minimize this error to improve model performance.

What are some alternatives to "smallest error"?

Alternatives to "smallest error" include phrases like "minimal deviation", "negligible inaccuracy", or "least significant mistake". The best choice depends on the specific context and the nuances you want to convey.

Is it always desirable to have the "smallest error"?

While minimizing error is generally desirable, it's not always the sole objective. Sometimes, achieving the "smallest error" might require excessive resources or complexity. A balance between accuracy and practicality must be found.