Zipf's law

A 2004 study showed that Zipf's law did not work well for the five largest cities in six countries.

The appropriate use of Zipf's law in animal communication studies.

It is not known why Zipf's law holds for most languages.

The theory is linked to that of Zipf's law.

This makes the application of Zipf's law quite difficult.

An example of a scientific law in social sciences is Zipf's law.

Curators can also cope with the high variability of language described by Zipf's law.

The data conform to Zipf's law to the extent that the plot is linear.

His current applied interests are focused around statistical theory of diversity and Zipf's law.

Both, researchers say, broadly conform to patterns described by a formula known as Zipf's law.

It seems that Zipf's law holds for frequency lists drawn from longer texts of any natural language.

This gives some insight into the reason why Zipf's law has been found experimentally to hold in such a wide variety of languages.

Zipf's law attempts to state this analysis mathematically.

Bibliograms, and frequencies of words in a text (Zipf's law)

Belevitch had an interest in languages and found a mathematical derivation of Zipf's law.

Zipf's law is an empirical law formulated using mathematical statistics.

Zipf's Law is the inevitable distribution of items into a curve that follows the power law.

In the simplest form of Zipf's law, frequency is inversely proportional to rank.

While Zipf's law works well in many cases, it tends to not fit the largest cities in many countries.

However, such distributions are unusual for natural phenomena, as suggested by Zipf's Law).

Zipf's law outside the middle range Proc.

Wallace took Zipf's Law a step further.

Despite the economies of effort introduced by Zipf's Law, natural languages nonetheless contain redundancies.

Like most site searches, our query distribution follows a Zipf's Law distribution.

In most cases bibliograms can be described by power laws such as Zipf's law and Bradford's law.