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Power-Law Distributions in Empirical Data
Aaron Clauset, Cosma Rohilla Shalizi, M. E. J. Newman, 2009. SIAM Review.
Sets out maximum-likelihood fitting and goodness-of-fit tests for power laws, and shows that least-squares fits on log-log plots can give badly wrong answers.
What it's used for here
The emerging-methods survey notes that few Voynich Zipf studies used this kind of likelihood fitting.
Cited by on this site 1 record
1 methods surveys
SRCMathematics
Cite it
Clauset, A., Shalizi, C. R., & Newman, M. E. J. (2009). Power-Law Distributions in Empirical Data. SIAM Review. https://doi.org/10.1137/070710111
@article{clauset2009power,
author = {Clauset, Aaron and Shalizi, Cosma Rohilla and Newman, M. E. J.},
title = {Power-Law Distributions in Empirical Data},
journal = {SIAM Review},
year = {2009},
doi = {10.1137/070710111},
url = {https://doi.org/10.1137/070710111}
}TY - JOUR TI - Power-Law Distributions in Empirical Data AU - Clauset, Aaron AU - Shalizi, Cosma Rohilla AU - Newman, M. E. J. PY - 2009 JO - SIAM Review DO - 10.1137/070710111 UR - https://doi.org/10.1137/070710111 ER -
Clauset, Aaron et al.. “Power-Law Distributions in Empirical Data.” SIAM Review (2009). https://doi.org/10.1137/070710111.