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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-08-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-96214-w |