Parameter estimation for power-law distributions by maximum likelihood methods
| dc.creator | Bauke, Heiko | |
| dc.date | 2007-04-14 | |
| dc.date | 2007-08-11 | |
| dc.date.accessioned | 2026-07-07T08:22:58Z | |
| dc.date.available | 2026-07-07T08:22:58Z | |
| dc.description | Distributions following a power-law are an ubiquitous phenomenon. Methods for determining the exponent of a power-law tail by graphical means are often used in practice but are intrinsically unreliable. Maximum likelihood estimators for the exponent are a mathematically sound alternative to graphical methods. | |
| dc.description | Supplementary software: http://www.physics.ox.ac.uk/users/bauke/Publications/index.html#powerlaws | |
| dc.identifier | https://arxiv.org/abs/0704.1867 | |
| dc.identifier | http://arxiv.org/abs/0704.1867 | |
| dc.identifier | The European Physical Journal B, vol. 58, no. 2, pp. 167-173 (2007) | |
| dc.identifier | doi:10.1140/epjb/e2007-00219-y | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/135830 | |
| dc.subject | Other Condensed Matter | |
| dc.subject | Data Analysis, Statistics and Probability | |
| dc.title | Parameter estimation for power-law distributions by maximum likelihood methods | |
| dc.type | text |