Cargando…
Bias in Zipf’s law estimators
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 efficient m...
Autores principales: | Pilgrim, Charlie, Hills, Thomas T |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397718/ https://www.ncbi.nlm.nih.gov/pubmed/34453066 http://dx.doi.org/10.1038/s41598-021-96214-w |
Ejemplares similares
-
Unzipping Zipf’s law
por: Lestrade, Sander
Publicado: (2017) -
Zipf’s laws of meaning in Catalan
por: Català, Neus, et al.
Publicado: (2021) -
Zipf’s law holds for phrases, not words
por: Ryland Williams, Jake, et al.
Publicado: (2015) -
There is More than a Power Law in Zipf
por: Cristelli, Matthieu, et al.
Publicado: (2012) -
Can Zipf's law be adapted to normalize microarrays?
por: Lu, Tim, et al.
Publicado: (2005)