Bias in Zipf’s law estimators

Abstract The prevailing maximum likelihood estimators for inferring power law models from rank-frequency data are biased. The source of this bias is an inappropriate likelihood function. The correct likelihood function is derived and shown to be computationally intractable. A more computationally ef...

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Bibliographic Details
Main Authors: Charlie Pilgrim, Thomas T Hills
Format: Article
Language:English
Published: Nature Publishing Group 2021-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-96214-w