minimum errors for

USAGE SUMMARY

The phrase "minimum errors for" is correct and usable in written English.
It can be used when discussing the goal of achieving the least amount of mistakes or inaccuracies in a particular context, such as a project or process. Example: "Our objective is to ensure minimum errors for the final report to maintain high standards of quality."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

5 human-written examples

The maximum and minimum errors for all activity concentrations are depicted in Fig. 4.

EJNMMI Research

The maximum count rate error around the peak NECR and the maximum and minimum errors for all activity concentrations are reported.

EJNMMI Research

The number of tapers giving the minimum errors for the sinusoidal tapers, Thomson multitapers and Welch method and the errors of the single Hamming window are also shown.

EURASIP Journal on Advances in Signal Processing

Threshold values of rrCBF = 1.4 and 1.6 provided minimum errors for determining a glioblastoma from a grade 3 or 2 glioma.

Cancer Imaging

The minimum error was obtained from all of the clusters predicted for each gene cluster, and the average of the minimum errors for the 10 gene clusters from A. flavus and A. fumigatus described above was then calculated at each value for the parameters.

DNA Research

Human-verified similar examples from authoritative sources

Similar Expressions

55 human-written examples

Maximum modulus count rate error at peak NECR as well as maximum and minimum error for all activity concentrations are reported.

EJNMMI Physics

For all three bandlimited white noise processes and for all sets of windows, the optimization converged to the same minimum error for all the 100 cases, based on equal sets of weighting factors.

EURASIP Journal on Advances in Signal Processing

Regarding to accuracy indexes, specificity and sensitivity, the system had the minimum error for a mixed sample (60% olive oil-40oil-40%a oil), specificity and sensitivity were obtained as 98% and 100%, respectively and accuracy was obtained as 72%, which was the weakest value.

Sensing and Bio-Sensing Research

The minimum error for each permutation across the top 2 to 10 ranked genes was used to calculate the p values for both of the above types of permutation to avoid bias.

Breast Cancer Research

The solution results correspond to the absolute minimum error for each sample for all mixing fractions and parameter sets tested by the ternary model, although a number of models with slightly different mixing fractions and ages of water were identified that could be consistent with measured tracer concentrations in the ASW samples and samples from the monitoring wells in the area.

Ground Water

The minimum error of classification for each of the subsets (8%13%%) was lower than that for the superset of all samples (28%), suggesting that homogeneity of tumour content rather than tumour content per se might be an important factor for response prediction.

Breast Cancer Research

Expert writing Tips

Best practice

When aiming for "minimum errors for" any process, establish clear guidelines and quality control checks at each stage.

Common error

Don't assume that aiming for "minimum errors for" each individual step guarantees minimal overall error. Error propagation can compound small errors into significant deviations. Consider error accumulation across all stages.

Linguistic Context

The phrase "minimum errors for" functions as a prepositional phrase, often used to specify a goal or objective related to minimizing mistakes in a particular context. Ludwig examples show its application in scientific and research domains.

Expression frequency: Rare

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "minimum errors for" is grammatically correct and commonly used to indicate an objective of achieving the fewest possible mistakes in a given scenario. Ludwig AI confirms its usability and appropriateness, particularly in scientific and formal contexts. Alternative phrases like "least errors possible for" or "fewest errors for" can provide stylistic variation. When employing this phrase, ensure that quality control measures are well-defined and applied consistently to mitigate error propagation and ensure the best possible results. While striving for minimal errors is crucial, recognizing the potential for some errors and planning for their management is equally important.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

least errors possible for

Changes the wording to emphasize the desire for the fewest errors.

minimum mistakes for

Substitutes "errors" with the synonym "mistakes".

fewest errors for

Replaces "minimum" with "fewest" to indicate the smallest quantity of errors.

smallest error margin for

Rephrases to focus on the acceptable error margin.

lowest error rate for

Shifts the focus to the rate of errors instead of the absolute number.

reduced errors for

Highlights the act of diminishing the errors.

optimized for error reduction

Focuses on optimizing a process to reduce errors.

accuracy maximization for

Reverses the perspective to prioritize maximizing accuracy.

error minimization in

Uses a different preposition and emphasizes the process of reducing errors within a system.

targeting minimal errors

Rephrases to describe the act of targeting a small amount of mistakes.

FAQs

How can I ensure "minimum errors for" a research paper?

To ensure "minimum errors for" a research paper, meticulously proofread your work, seek feedback from peers, and utilize grammar and spell-checking tools. Consider enlisting a professional editor for a final review.

What's the difference between aiming for "minimum errors for" and aiming for perfection?

Aiming for "minimum errors for" acknowledges that some errors may inevitably occur and prioritizes reducing them to an acceptable level. Aiming for perfection implies a pursuit of error-free work, which may be unrealistic or inefficient. Strategies like "accuracy maximization for" and other similar terms can be used depending on the context.

What are some strategies for achieving "minimum errors for" a software project?

Strategies for achieving "minimum errors for" a software project include thorough testing, code reviews, continuous integration, and adhering to coding standards. Also, it can be useful to implement robust error handling and logging mechanisms.

In statistical analysis, what does aiming for "minimum errors for" predictions mean?

In statistical analysis, aiming for "minimum errors for" predictions involves selecting models and parameters that minimize the difference between predicted and actual values. This may involve using techniques such as cross-validation and regularization. Or using the "smallest error margin for" is also another solution.