deviation of parameters

USAGE SUMMARY

The phrase "deviation of parameters" is correct and usable in written English.
It can be used in contexts such as statistics, engineering, or any field where parameters are measured and analyzed for variations from a standard or expected value. Example: "The deviation of parameters in the experiment indicated a significant error in the data collection process."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

2 human-written examples

In this study, mean and standard deviation of parameters as well as one-way analysis of variance (ANOVA) test were used for comparison of the removal efficiencies at different loadings for each parameter.

AMB Express

In fact, deviation of parameters such as glucose or blood pressure from "normal values" would easily be construed as adverse events.

Aging

Human-verified similar examples from authoritative sources

Similar Expressions

58 human-written examples

Uncertainties in location are determined from the standard deviations of parameters registered in the JMA catalog.

Earth, Planets and Space

Both TS-2 and OECD 313 experiments yield similar leaching curves for each of the considered substances despite of slight deviations of parameters.

Environmental Sciences Europe

This approach is based on the idea of analyzing the deviations of parameters of the real network traffic from the estimated statistical models of that traffic (see Fig. 2).

EURASIP Journal on Wireless Communications and Networking

Standard deviations of parameters a 00 and b 00 are greater than others.

Biomedical Optics Express

The inferred means and standard deviations of parameters are relatively insensitive to the width of the uniform prior we adopt.

BMC Systems Biology

To analyze the differences in clinical parameters due to aging, and to minimize the potential confounding effects of diseases or abnormal measurements, we set inclusion criteria considering both the standard deviations of parameters that were collected and the normal range which was established by the American Medical Association.

Clinical interventions in aging

The standard deviations of parameters at all three runs of the SRCV scheme were comparable to those obtained in the sensible hold-out partitioning schemes for model validation (see Additional file 1: Figure S3) and were never higher than those obtained in the unsuitable schemes.

BMC Systems Biology

Since V includes random parameters, the standard deviation of those parameters should be accounted for [ 8, 23].

BMC Medical Research Methodology

Mean and standard deviation (SD) of parameters were calculated from these 25 optimization runs.

BMC Systems Biology

Expert writing Tips

Best practice

When reporting the "deviation of parameters", always specify the type of deviation (e.g., standard deviation, mean absolute deviation) and the units of measurement to ensure clarity and avoid ambiguity.

Common error

Avoid reporting only the "deviation of parameters" without providing context, such as the expected range or target values. This makes it difficult to assess the significance of the deviation.

Linguistic Context

The phrase "deviation of parameters" functions as a noun phrase, typically serving as the subject or object of a sentence. It refers to the extent to which parameters diverge from a standard or expected value. Ludwig shows examples in scientific articles.

Expression frequency: Rare

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "deviation of parameters" is a noun phrase primarily used in scientific and technical contexts to describe the extent to which parameters vary from an expected value. Ludwig AI validates that the phrase is correct and provides example usages in scientific research. While grammatically sound, its frequency is rare. When using the phrase, provide specific details about the deviation type and context to ensure clarity. Related phrases include "parameter variation" and "parameter fluctuation".

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

parameter variation

This term focuses on the extent to which parameters differ or change.

parameter fluctuation

This suggests parameters change or vary irregularly.

parameter inconsistency

This highlights a lack of uniformity or agreement among parameters.

parameter discrepancy

This points to a difference or lack of alignment among parameters.

parameter divergence

This refers to parameters moving away from a common point or value.

parameter shift

This indicates a change in the value or state of parameters.

parameter offset

This describes the amount by which a parameter is out of alignment.

parameter error

This indicates the inaccuracies in parameters.

parameter abnormality

This suggests a deviation from the standard or normal state of parameters.

parameter displacement

This refers to the extent to which parameters are moved from an original location.

FAQs

How can I measure the "deviation of parameters"?

The "deviation of parameters" can be measured using statistical methods such as standard deviation, variance, or mean absolute deviation, depending on the context and the type of data.

What does "deviation of parameters" mean in statistical analysis?

In statistical analysis, "deviation of parameters" refers to the degree to which estimated or observed parameters differ from their expected or theoretical values. This can indicate the accuracy and reliability of a model or experiment.

What are some alternatives to the phrase "deviation of parameters"?

You can use alternatives such as "parameter variation", "parameter fluctuation", or "parameter inconsistency" depending on the context.

Why is it important to analyze the "deviation of parameters"?

Analyzing the "deviation of parameters" is crucial for identifying potential errors, assessing the validity of a model, and understanding the variability within a system. It helps in making informed decisions and improving the accuracy of predictions.