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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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nature Portfolio
2021-08-01
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| Серии: | Scientific Reports |
| Online-ссылка: | https://doi.org/10.1038/s41598-021-96214-w |
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