corresponding distributions

USAGE SUMMARY

The phrase "corresponding distributions" is correct and usable in written English.
It can be used in contexts involving statistics, probability, or data analysis where you are referring to distributions that are related or matched in some way. Example: "In our study, we compared the corresponding distributions of test scores between the two groups."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

59 human-written examples

(F ) Same data, fit with linearized models of Ca2+ diffusion and buffering (continuous curve, constant coupling distance; small dashing, half-normally distributed coupling distance; large dashing, skewed-normally distributed coupling distance; corresponding distributions shown as insets on the right).

eLife

Dynamics of adsorbate island sizes and corresponding distributions are analyzed in detail.

Nanoscale Research Letters

Figure 4b,c shows the corresponding distributions of the azimuths and velocities, respectively.

Earth, Planets and Space

Inset numbers: ratio of positive and negative areas in the corresponding distributions.

EPJ Data Science

The corresponding distributions for the total number of customers served during a busy period are also studied.

European Journal of Operational Research

Conventional statistical comparison of means is not appropriate in this context because average WTP and their corresponding distributions are correlated.

Latin American Economic Review

Table 7 presents the maximal and average k-indexes for each cluster and Fig. 8 visually shows the corresponding distributions.

Computational Social Networks

Figure 5 The profiles (a - d) a - dhe corresponding distributions andng the Y -axis (e)-(h) of E y.

Nanoscale Research Letters

Processes giving rise to new chains are identified and the statistical moments for the corresponding distributions are derived.

Chemical Engineering Science

Figures 8, 9, and 10 compare the CDFs of the measured μ, k, and σ parameters with random processes of corresponding distributions.

EURASIP Journal on Wireless Communications and Networking

What is somewhat surprising is that the distributions fitted to the training pool match the corresponding distributions seen for large external validation sets as well.

Journal of Cheminformatics

Expert writing Tips

Best practice

When discussing statistical data, ensure that the context clearly establishes what the "corresponding" element refers to. For example, specify "the corresponding distributions of income for each demographic group" to avoid ambiguity.

Common error

Avoid using the phrase "corresponding distributions" without clearly defining what the distributions are corresponding to. Lack of clarity can confuse the reader and weaken your analysis.

Linguistic Context

The phrase "corresponding distributions" functions as a descriptive term, often used to specify that multiple distributions are related to each other in a meaningful way. Ludwig AI confirms its correct usage. The adjective "corresponding" modifies the noun "distributions", indicating a relationship or association between them.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, "corresponding distributions" is a grammatically correct and very common phrase, primarily used in scientific contexts to describe statistical distributions that are related or linked. Ludwig AI confirms its validity and offers several examples from academic and research publications. Its usage requires careful attention to ensure clarity and avoid vagueness. Related phrases, such as "related distributions" or ""associated distributions"", can be used as alternatives depending on the specific context. The phrase's formal register and precise meaning make it well-suited for technical writing and data analysis.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

related distributions

Replaces "corresponding" with "related", indicating a connection but potentially a less direct one.

associated distributions

Uses "associated" instead of "corresponding", suggesting a connection or correlation.

matching distributions

Emphasizes the similarity or equivalence between the distributions.

parallel distributions

Suggests a similarity in the pattern or behavior of the distributions.

comparable distributions

Highlights the ability to compare the distributions, implying they share some similar characteristics.

equivalent distributions

Indicates the distributions are functionally the same, though not necessarily identical.

distributions in correspondence

Rephrases to emphasize that the distributions are in a relationship of correspondence.

analogous distributions

Suggests the distributions are similar in some aspects, drawing an analogy.

respective distributions

Indicates that each distribution belongs to a specific item or category.

distributions that correlate

Highlights a statistical correlation between the distributions.

FAQs

How can I use "corresponding distributions" in a sentence?

You can use "corresponding distributions" to describe relationships between different sets of data. For example, "We compared the gene expression levels and their "associated distributions" to identify potential biomarkers."

What is the difference between "corresponding distributions" and "related distributions"?

"Corresponding distributions" often implies a direct or matched relationship, whereas "related distributions" suggests a general association or connection. The former is more specific.

What are some alternatives to the phrase "corresponding distributions"?

Depending on the context, alternatives could include "matching distributions", ""associated distributions"", or "parallel distributions". Choose the phrase that best reflects the relationship you're describing.

In what fields is the term "corresponding distributions" commonly used?

The term is frequently used in statistics, data analysis, machine learning, and other quantitative fields, particularly within scientific and academic research.