dominating variables

USAGE SUMMARY

The phrase "dominating variables" is correct and usable in written English.
It can be used in contexts such as statistics, mathematics, or any field where certain variables have a significant influence over others. Example: "In our analysis, we identified the dominating variables that affect the outcome of the experiment."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

2 human-written examples

2. At Time 1 the dominating variables are Extroversion and Neuroticism, just as predicted by the model.

Health and Quality of Life Outcomes

It was shown that salinity, ORP, DO and HRT were the four dominating variables influencing the community distribution in denitrification reactors (Fig. 3).

AMB Express

Human-verified similar examples from authoritative sources

Similar Expressions

57 human-written examples

He also concluded that the temperature is the dominating variable in the case of WBM.

Journal of Petroleum Exploration and Production Technology

CGH profiles were classified as gains or losses according to the dominating variable in the region corresponding to the gene locus.

BMC Cancer

In this paper, we establish the complete moment convergence of a moving average process generated by the class of random variables satisfying a Rosenthal-type maximal inequality and a weak mean dominating condition with a mean dominating variable.

Journal of Inequalities and Applications

Let ({Y_{n}, ngeq1}) be a sequence of random variables satisfy a weak dominating condition with a dominating random variable Y.

Journal of Inequalities and Applications

A sequence ({Y_{i},-infty< i<infty}) of random variables is said to satisfy a weak dominating condition with a dominating random variable Y if sum_{i=j+1}^{j+n}Pbigl{ vert Y_{i}vert >xbigr} leq C nPbigl{ vert Yvert >xbigr},quad x geq0, -infty < j< infty, ngeq1, where C is a positive constant.

Journal of Inequalities and Applications

Climate: according to the dominating climate variables in the ENM, 0 = cool summers, 1 = cool winters, 2 = wet winters.

BMC Evolutionary Biology

In these cases, parallel data on dominating meteorological variables make it possible to control for the effect of differences in locomotory performance among trapping periods.

BMC Ecology

Note that if ( j, j ′ ), ( k, k ′ ) are dominating pairs of variables whose input variables contain variables with outdegree 2, then { j, j ′ } ∩ { k, k ′ } = ∅.

Advances in Difference Equations

To avoid any variable dominating the distance measured, variables were standardized by dividing by the range, before computing the similarity matrix, thus ensuring that all variables had the same scale [ 50, 51].

BMC Ecology

Expert writing Tips

Best practice

Quantify or qualify the degree of influence of the "dominating variables" whenever possible. Use data or evidence to support claims about their dominance.

Common error

Avoid assuming variables are "dominating" without empirical evidence. Ensure your analysis supports the claim that these variables have a significantly greater impact than others. Without sufficient data, you risk misrepresenting the system's dynamics.

Linguistic Context

The phrase "dominating variables" functions as a noun phrase, specifically an adjective modifying a noun. Ludwig AI confirms its usability in written English, especially in contexts where certain variables significantly influence others. The phrase identifies specific elements that hold primary sway within a given context.

Expression frequency: Rare

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Reference

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Ludwig's WRAP-UP

The phrase "dominating variables" is a grammatically sound and usable term, predominantly found in scientific and technical contexts. As Ludwig AI confirms, it effectively describes variables that exert significant influence. While not overly common, it serves a crucial role in precisely identifying key factors in various analyses. When using this phrase, ensure that you support your claims with empirical evidence and clearly define the context in which these variables dominate.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

predominant variables

Indicates that these variables are the most noticeable or prevalent.

most significant variables

Emphasizes the importance and impact of the variables compared to others.

critical variables

Stresses the importance and necessity of the variables.

controlling factors

Highlights the variables' capacity to regulate or govern a system.

primary drivers

Focuses on the driving force aspect, emphasizing the variables that propel change or outcomes.

governing parameters

Suggests that these variables set the rules or boundaries for a system's behavior.

key determinants

Highlights the role of variables in determining a specific result or state.

major influencing factors

Emphasizes the variables' ability to affect or alter outcomes.

principal components

Highlights the variables as essential building blocks or elements.

leading indicators

Refers to variables that signal future trends or changes.

FAQs

How can I use "dominating variables" in a sentence?

You can use "dominating variables" to describe factors that have a primary influence on a particular outcome or system. For example: "Salinity and temperature were the "dominating variables" influencing species distribution."

What are some alternatives to "dominating variables"?

Alternatives include "key determinants", "major influencing factors", or "primary drivers" depending on the specific context.

In statistical analysis, what does it mean for a variable to be "dominating"?

In statistical analysis, a "dominating" variable is one that accounts for a significant portion of the variance or explains a large degree of the observed effect, compared to other variables in the model.

How do I identify "dominating variables" in a complex system?

Identifying "dominating variables" often requires statistical techniques such as regression analysis, principal component analysis, or sensitivity analysis to assess the relative impact of different variables on the system's behavior.