erroneous value

USAGE SUMMARY

"erroneous value" is correct and usable in written English.
You can use it to refer to something that is wrong or inaccurate. For example, "This calculation has an erroneous value due to a miscalculation."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

8 human-written examples

A criterion is offered for the identification of the maximum sweep rate for which an observed frequency response function provides a true indication of system damping, rather than an erroneous value dominated by the sweep rate.

Journal of Sound and Vibration

This scheme, in the presence of single transmission error, allows the implementation of a simple replacement policy, which is based on substitution of the erroneous value (mainly a transient error), with a correct one.

Microelectronics Journal

Setting this constant value a priori is challenging, and an erroneous value can lead to a lithospheric field model with a biased offset.

Earth, Planets and Space

Since, in the presence of additive white Gaussian noise, the zero lag of the noisy ACF is most severely corrupted in comparison to other lags, if the zero lag is kept as it is during the computation of the RCC of the OSACF, it may result in a more erroneous value of RCC.

EURASIP Journal on Advances in Signal Processing

Two types of errors are described in the literature: one of omission and one of erroneous value.

BMJ Open

The erroneous value reported in the first submission stemmed from an error in our implementation of the software algorithm.

eLife

Human-verified similar examples from authoritative sources

Similar Expressions

52 human-written examples

Possible error sources that could bring about erroneous values of NOCT are also analysed.

Renewable Energy

Such electrode assemblies also yield erroneous values of tan δ measured for studies of structural relaxation.

Thermochimica Acta

Removing duplicative or erroneous values will also help prevent messy data issues from recurring in the future.

Yale University

Once the data are collected, further processing is required to check for errors and to remove erroneous values.

Data Analysis Methods in Physical Oceanography

Isotropy assumptions classically used to estimate the dissipation rate from 2D measurements may thus lead to erroneous values.

Chemical Engineering Science

Expert writing Tips

Best practice

When using "erroneous value", ensure the context clearly indicates what caused the error and how it affects the overall analysis or result.

Common error

Avoid using "erroneous value" as a vague label for any data point that doesn't fit expectations. Always investigate the source of the error and describe it specifically.

Linguistic Context

The phrase "erroneous value" functions as a noun phrase where the adjective "erroneous" modifies the noun "value". It typically identifies a specific data point or result that is incorrect or contains an error. As Ludwig AI explains, this term is usable in written English and is appropriate for describing something wrong or inaccurate.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "erroneous value" is a grammatically correct and understandable way to refer to incorrect or inaccurate data. As Ludwig AI confirms, it is appropriate for use in written English, particularly in formal and scientific contexts. While "erroneous value" isn't as common as some alternatives like "incorrect value", it effectively communicates the presence of an error. When using this phrase, ensure that the context clearly indicates the source and impact of the error. Remember to validate your data carefully to minimize the occurrence of "erroneous values".

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

incorrect value

Replaces "erroneous" with "incorrect", a more common synonym, maintaining the same meaning.

inaccurate value

Substitutes "erroneous" with "inaccurate", highlighting the lack of precision.

false value

Replaces "erroneous" with "false", suggesting a complete deviation from the truth or reality.

invalid value

Suggests the value does not conform to a set of rules or criteria.

faulty value

Replaces "erroneous" with "faulty", implying a defect or flaw in the value.

mistaken value

Substitutes "erroneous" with "mistaken", indicating an error in obtaining or assigning the value.

corrupted value

Suggests the value has been damaged or altered, making it unreliable.

unreliable value

Highlights the untrustworthiness of the value.

biased value

Implies the value has been influenced by prejudice or subjectivity.

skewed value

Suggests the value is distorted or misrepresented.

FAQs

What does "erroneous value" mean?

An "erroneous value" refers to a data point or measurement that is incorrect or contains an error, leading to inaccurate results or conclusions. This can occur due to various reasons, such as measurement errors, data entry mistakes, or flawed calculations.

How can I avoid obtaining "erroneous values" in my data?

To minimize "erroneous values", implement strict data validation procedures, use calibrated instruments, double-check data entry, and apply statistical methods to identify and remove outliers. Regular quality control checks are also essential.

What are some alternatives to "erroneous value"?

You can use alternatives like "incorrect value", "inaccurate value", or "false value" depending on the context.

In what contexts is the term "erroneous value" commonly used?

The term "erroneous value" is frequently encountered in scientific research, data analysis, and engineering, where accurate measurements and data integrity are crucial. You may also find it in fields like finance or healthcare when discussing data quality.