measure of divergence

USAGE SUMMARY

The phrase "measure of divergence" is correct and usable in written English.
It can be used in contexts related to statistics, mathematics, or any field where differences or variations between data sets or distributions are being analyzed. Example: "The measure of divergence between the two data sets indicates a significant difference in their distributions."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

26 human-written examples

Keeping the number of CNVs in each individual at a constant level, say x, we define δ as the fraction of CNVs unique to each group as a measure of divergence, i.e. with increasing δ, the groups become more divergent.

Plosone

Perhaps the speaker's consciousness is the best measure of divergence; when, one may ask, did Romance speakers realize that they were not using Latin in their everyday speech?

Encyclopedia Britannica

In order to quantify the effect of shadow fading standard deviation, we introduce Kullback-Leibler Distance (KLD) which is a measure of divergence between two probability distributions [26].

EURASIP Journal on Wireless Communications and Networking

b shows a special kind of phylogeny known as a "phylogram," in which branch length is proportional to some measure of divergence.

Evolution: Education and Outreach

By contrast, trees known as "phylograms" present branch lengths as being proportional to some measure of divergence between species, for example based on comparisons of deoxyribonucleic acid sequences or morphological features.

Evolution: Education and Outreach

Next, the study of Edwards and Tuljapurkar (2005) applied the Kullback Leibler measure of divergence to quantify similarities in age-at-death distributions between countries and study their developments over calendar time.

Genus

Human-verified similar examples from authoritative sources

Similar Expressions

34 human-written examples

Three measures of divergence, FST (using ANGSD) and df, the number of fixed differences between populations were computed using custom scripts.

Nature

We include two measures of divergence between actual and optimal behaviour.

SERIEs

For a given trio of species (the island species, D. simulans and D. melanogaster), three pairwise measures of divergence were obtained.

Plosone

In addition, the resulting phylogenetic tree provides a framework for measures of divergence such as UNIFRAC [12] that are useful for the comparison of health and disease-associated communities.

Plosone

Contributions of individual loci to measures of divergence and polymorphism for all sites are shown in Table 2. Two estimates of θs are shown: an estimate based on average pairwise nucleotide diversity, θ̂π [21], and Watterson's estimator, θ̂W, which is based on the number of polymorphic sites [22].

Plosone

Expert writing Tips

Best practice

When using the phrase "measure of divergence", clearly define the specific metric being used and its relevance to the analysis. This ensures clarity and avoids ambiguity in interpretation.

Common error

Avoid using "measure of divergence" without specifying what is diverging and how it is being measured. This can lead to misunderstandings and weakens the analytical rigor.

Linguistic Context

The phrase "measure of divergence" functions as a noun phrase that acts as a subject or object in a sentence. It refers to the act or result of quantifying how much things differ. Ludwig AI confirms that it is correctly used in scientific contexts.

Expression frequency: Uncommon

Frequent in

Science

90%

Encyclopedias

5%

News & Media

5%

Less common in

Formal & Business

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "measure of divergence" is a noun phrase used to quantify the degree of difference between entities. As Ludwig AI confirms, the phrase is grammatically correct and commonly found in scientific and academic contexts. The most frequent sources include PlosOne and Genome Biology and Evolution, highlighting its prevalence in scientific research. When using the phrase, it's crucial to specify the metric to prevent vagueness. Alternatives include "degree of divergence" and "extent of dissimilarity". Understanding its function, purpose, and appropriate register ensures effective communication in various domains.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

degree of divergence

Focuses on the extent to which something diverges, rather than the act of measuring it.

extent of dissimilarity

Highlights the degree of difference or unlikeness between things.

level of variation

Emphasizes the amount of change or difference within a set of data.

index of separation

Suggests a quantified value indicating the distance or distinction between elements.

metric for differentiation

Focuses on quantifying the process of becoming distinct or specialized.

quantification of difference

Highlights the act of expressing a difference numerically.

assessment of disparity

Focuses on evaluating the inequality or difference.

evaluation of contrast

Emphasizes the comparison of opposing qualities or characteristics.

determination of deviation

Highlights the process of finding how much something departs from a standard or norm.

calculation of spread

Focuses on measuring the extent to which data is distributed or dispersed.

FAQs

How is "measure of divergence" used in scientific writing?

In scientific writing, "measure of divergence" is used to quantify the degree to which two or more entities differ. For example, in evolutionary biology, it can refer to the genetic distance between species. In statistics, it can refer to the difference between probability distributions. It is often used with specific metrics like Kullback-Leibler divergence or FST.

What are some alternative phrases for "measure of divergence"?

Some alternative phrases include "degree of divergence", "extent of dissimilarity", or "level of variation". The best choice depends on the specific context and the nuance you wish to convey. For example, you might use "degree of divergence" to emphasize the amount of separation, while "extent of dissimilarity" focuses on the unlikeness between things.

What fields commonly employ "measure of divergence"?

The phrase "measure of divergence" is frequently used in fields such as evolutionary biology, statistics, information theory, and linguistics. In each field, it refers to the quantification of differences between entities, whether those are species, data distributions, languages, or other measurable phenomena.

Is "measure of divergence" interchangeable with "measure of difference"?

While related, "measure of divergence" and "measure of difference" are not always interchangeable. "Measure of difference" is a broader term that can apply to any kind of difference, while "measure of divergence" often implies a more fundamental separation or deviation from a common origin or state. The suitability depends on the specific context.