coefficient of importance

USAGE SUMMARY

The phrase "coefficient of importance" is correct and usable in written English.
It can be used in contexts where you want to quantify or express the significance of a particular factor or variable in a given situation or analysis. Example: "In our study, we calculated the coefficient of importance for each variable to determine which factors had the most impact on the outcome."

✓ Grammatically correct

Science

Wiki

Human-verified examples from authoritative sources

Exact Expressions

2 human-written examples

The vehicles were graded based upon a five-point scale for each test, which would be multiplied by a coefficient of importance for each test.

Wikipedia

We used the percentage of variance explained by each factor (independent contribution) as a coefficient of importance in the final linear model.

Evolutionary Applications

Human-verified similar examples from authoritative sources

Similar Expressions

58 human-written examples

Additionally, the coefficients of importance of all attributes were estimated.

Human Reproduction

Take (x_{i}) as the evaluation coefficient of the importance degree of the factor (U_{i}), it can be normalized so that (sumnolimits_{i = 1}^{n} {x_{i} = 1}).

Journal of Petroleum Exploration and Production Technology

Table 7 The size of the test scenario and value of some parameters Scenario specifications Uncertainty level Reliability level Coefficient of compensation Relative importance p/t/i/j/k/l/r s 2/3/5/8/20/5/2/1 0.2 0.7 0–1 0–1.

Journal of Industrial Engineering International

γ and θ g denote coefficient of compensation and importance of corresponding objective, respectively, and they will be determined according to the decision maker preference (left( {sumlimits_{g} {theta _{g} = 1} } right)).

Journal of Industrial Engineering International

Step 10: Modify the coefficient of compensation, relative importance (( theta_{k} )), or the membership functions by considering only the following variations: a) an increase in the lower bound for the maximization objective and b) a decrease in the upper bound for the minimization objective; then, go to Step 7. Otherwise, go to the next step.

Journal of Industrial Engineering International

The weight coefficient reflects the degree of importance of the given connection in the network.

Applied Water Science

From our empirical investigation, we observe that in general, LASSO regression is an appealing approach due to its robustness in estimation of regression coefficients and its power in identifying non-zero coefficients associated with variables of importance under various study designs and parameter settings.

Environmental Health: A Global Access Science Source

The DCE analysis showed that fatigue was an important factor in patient treatment preference, with a relative importance coefficient of 0.23 and a very strong disutility of − 0.82 for severe fatigue.

Journal of Patient-Reported Outcomes

Reproducible and important textures, were selected by a cut-off on the coefficient of variation and variable importance determined by random forest analysis, respectively.

Cancer Imaging

Expert writing Tips

Best practice

When using the "coefficient of importance", clearly define the context and the specific factors being assessed to ensure clarity and avoid ambiguity. For instance, in statistical modeling, explain how the coefficient is calculated and what it represents in terms of variable influence.

Common error

Avoid assuming that a high "coefficient of importance" automatically indicates causality. It only reflects the relative contribution of a factor within the defined model or assessment framework, not necessarily a direct cause-and-effect relationship.

Linguistic Context

The phrase "coefficient of importance" functions as a noun phrase that quantifies the degree of significance a particular factor holds within a given context. Ludwig AI confirms its usability in written English, where it serves to denote the weighted influence of a variable.

Expression frequency: Rare

Frequent in

Science

66%

Wiki

33%

News & Media

0%

Less common in

Formal & Business

0%

Encyclopedias

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "coefficient of importance" is a noun phrase used to quantify the significance of a factor within a given context. Ludwig AI confirms its usability in written English. It is primarily found in scientific and technical domains. While grammatically correct, its frequency is rare. Alternatives include "significance coefficient" and "importance factor". Understanding the scope is important to avoid misinterpreting its meaning. It's advisable to define the context and specific factors being assessed to ensure clarity. Overall, the phrase serves to assess and communicate the relative significance of key drivers within a system.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

significance coefficient

Replaces 'importance' with 'significance', emphasizing the statistical relevance.

importance factor

Substitutes 'coefficient' with 'factor', focusing on the element that contributes to importance.

weighting coefficient

Replaces 'importance' with 'weighting', highlighting the assigned weight or value.

relevance index

Uses 'relevance' instead of 'importance' and 'index' instead of 'coefficient', altering the terminology.

degree of importance

Expresses 'coefficient of importance' using a descriptive phrase that quantifies the level of significance.

significance level

Highlights the statistical significance, changing 'coefficient' to 'level'.

relative importance

Focuses on comparing importance, omitting 'coefficient'.

influence coefficient

Highlights the influence that factor has instead of focusing on importance

impact factor

Focuses on impact instead of a general importance

priority index

Highlights the prioritization of the index instead of its importance

FAQs

How is the "coefficient of importance" calculated?

The calculation method varies depending on the context. It can involve statistical modeling, weighting systems, or expert judgment. The specific formula or process should be clearly defined in any analysis using this term.

What does a high "coefficient of importance" indicate?

A high coefficient generally suggests that the factor has a significant influence or contribution within the defined context. However, it's crucial to understand the specific calculation method and potential limitations.

Is the "coefficient of importance" the same as statistical significance?

Not necessarily. While both relate to the impact of a variable, statistical significance typically refers to the probability that an observed effect is not due to random chance. The "coefficient of importance" reflects the magnitude of the variable's effect within a specific model or framework.

What are some alternatives to "coefficient of importance"?

You can use alternatives like "significance coefficient", "importance factor", or "weighting coefficient" depending on the specific nuance you want to convey.