Fitting Ranked Linguistic Data with Two-Parameter Functions

Fitting Ranked Linguistic Data with Two-Parameter Functions

It is well known that many ranked linguistic data can fit well with one-parameter models such as Zipf’s law for ranked word frequencies. However, in cases where discrepancies from the one-parameter model occur (these will come at the two extremes of the rank), it is natural to use one more parameter...

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Bibliographic Details
Main Authors: Wentian Li, Pedro Miramontes, Germinal Cocho
Format: Article
Language:English
Published: MDPI AG 2010-07-01
Series:Entropy
Subjects:
Zipf’s law
regression
model selection
Beta function
letter frequency distribution
word-spacing distribution
word frequency distribution
weighting
Online Access:http://www.mdpi.com/1099-4300/12/7/1743/

Internet

http://www.mdpi.com/1099-4300/12/7/1743/

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