LOTKA: a program to fit a power law distribution to observed frequency data
LOTKA, a computer program for fitting a power law distribution such as Lotka’s is presented. It basically follows Nicholl’s methodology : using a maximum likelihood approach to estimate parameters, and a Kolmogorov- Smirnov test for goodness-of-fit. When input data are converted (from rankfrequency...
| Autores: | , |
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| Tipo de documento: | artigo |
| Estado: | Versão publicada |
| Data de publicação: | 2000 |
| País: | España |
| Recursos: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositório: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/174351 |
| Acesso em linha: | http://hdl.handle.net/10261/174351 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Computer programs2 Power law distribution Lotka’s law Maximum likelihood estimation Nicholls’ methodology Kolmogorov-Smirnov test Zipf |
| Resumo: | LOTKA, a computer program for fitting a power law distribution such as Lotka’s is presented. It basically follows Nicholl’s methodology : using a maximum likelihood approach to estimate parameters, and a Kolmogorov- Smirnov test for goodness-of-fit. When input data are converted (from rankfrequency to size-frequency) this program can also be used to test Zipf’s law |
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