distributional points

USAGE SUMMARY

The phrase "distributional points" is correct and usable in written English.
It can be used in contexts related to statistics, data analysis, or any field where the distribution of data points is being discussed. Example: "The analysis revealed several distributional points that indicated a significant trend in the data set."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

However, mean regression models may be sensitive to response outliers and provide no information on factors affecting other distributional points (e.g. upper and lower 5% quantiles) of the response.

Journal of Statistical Distributions and Applications

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

Moncarz (2011) reports that for Mexico the pension system is almost neutral from a distributional point of view.

Latin American Economic Review

Our main finding that a solidarity system as the PAYG-DB that is in place in Argentina is regressive appears to be at odds with the preconception that from a distributional point of view this type of arrangements are more progressive than a system with individual accounts, which almost by definition are actuarially fair.

Latin American Economic Review

Given the exponential growth of distributional data [2], [3], the necessity for procedures and bioinformatics tools to facilitate data management, reduce data complexity, and find general patterns from distributional point records has increased.

Plosone

From a distributional point of view, it is important to know whether the weakest groups in society face a relatively higher financial burden or are treated in a different way because the level of (price) ignorance varies by socioeconomic group.

European Journal of Health Economics

While the collapsing pattern made sense from a distributional point of view, further work needs to be done in larger samples to see if the current strategy is optimal.

Health and Quality of Life Outcomes

Agricultural Politics at a Turning Point: Distributional, Land-use, Framing and Evaluational Conflicts" based at the University of Hamburg s Research Center for Biotechnology, Society and the Environment ( BIOGUM).

Science Magazine

These initial points and distributional shapes are the "priors" for any Bayesian model, and they are often not discussed in great detail despite being important parts of the model.

Huffington Post

The compressive strength of the material was modeled by considering the relationship between the porosity and the distributional probability of the weakest points, i.e., points that could lead to fracture, in the continuum.

International Journal of Concrete Structures and Materials

At points around the distributional limit of Ebola HF distributional areas in central Africa, precipitation dominates the range limit at point 11, but temperature and elevation dominate at points 2, 3, and 6.

Emerging Infectious Diseases

But Europe's banks' balance sheets have essentially been frozen, whereas in the five years up to the crisis, they expanded by €13.5 trillion.That brings us to the second point; the distributional impact of policy.

The Economist

Expert writing Tips

Best practice

When discussing statistical models, use "distributional points" to refer to specific locations within a distribution that are relevant to your analysis, such as quantiles or percentiles.

Common error

Avoid using "distributional points" when you simply mean data points or observations. The phrase implies a specific focus on the distribution's characteristics, not just the individual data values.

Linguistic Context

The phrase "distributional points" primarily functions as a descriptive term in statistical and analytical contexts. It describes specific values or locations within a distribution, as evidenced by Ludwig's usage examples. It is used to denote key points that characterize the shape and spread of data.

Expression frequency: Rare

Frequent in

Science

67%

News & Media

21%

Formal & Business

12%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "distributional points" is a term primarily used in statistical and analytical contexts to describe specific values or locations within a data distribution. As Ludwig AI highlights, it is grammatically correct and most frequently found in scientific literature. While its usage is relatively rare, understanding its meaning is crucial when interpreting statistical analyses. Alternative phrasing such as "data distribution points" can provide clearer context depending on the audience and purpose.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data distribution points

Focuses specifically on data and its arrangement, emphasizing the data-centric aspect rather than a general distribution.

points of distribution

Highlights the locations or instances where a distribution is observed or measured.

distributional data points

Emphasizes the data aspect of the distribution.

aspects of distribution

Shifts focus to characteristics or features related to how something is spread or allocated.

distributional considerations

Emphasizes the act of taking into account how something is distributed, often in policy or economics.

distributional outcomes

Highlights the results or consequences of a particular distribution, often used in social sciences.

patterns of distribution

Focuses on the observed arrangements or configurations in how something is spread.

distributional properties

Refers to the characteristics or attributes of a distribution, often in statistical contexts.

distributional effects

Highlights the impact or consequences resulting from how something is distributed.

distributional implications

Focuses on the broader consequences or inferences that can be drawn from a particular distribution.

FAQs

How are "distributional points" used in statistics?

"Distributional points" refer to specific locations or values within a probability distribution, such as quantiles or percentiles, which are often used to analyze the spread and shape of the data.

What's the difference between "data points" and "distributional points"?

"Data points" are individual observations in a dataset, while "distributional points" refer to specific locations within the distribution of that data, such as quartiles or percentiles, used for analysis.

In what contexts is it appropriate to use the term "distributional points"?

The term "distributional points" is appropriate in statistical analysis, particularly when describing specific locations within a distribution used to understand its properties, such as in regression models or when examining quantiles.

What are some alternative ways to refer to "distributional points" in statistical analysis?

Alternative terms include "quantiles", "percentiles", or "specific points within a distribution", depending on the specific context and level of detail required. For instance, one might refer to "data distribution points".