A new lifetime model: the Kumaraswamy extension exponential distribution (2018)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.31031/OABB.2018.02.000527
- Subjects: DISTRIBUIÇÕES (PROBABILIDADE); ANÁLISE DE SOBREVIVÊNCIA; VEROSSIMILHANÇA
- Keywords: Kumaraswamy distribution; Extension exponential distribution hazard function; Mean residual lifetime; Maximum likelihood estimation; Moments
- Language: Inglês
- Imprenta:
- Publisher place: New York, NY, USA
- Date published: 2018
- Source:
- Título: Open Access Biostatistics and Bioinformatics
- ISSN: 2578-0247
- Volume/Número/Paginação/Ano: v. 2, n. 1, p. 1-9, 2018
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
ELBATAL, Ibrahim e LOUZADA, Francisco e GRANZOTTO, Daniele C. T. A new lifetime model: the Kumaraswamy extension exponential distribution. Open Access Biostatistics and Bioinformatics, v. 2, n. 1, p. 1-9, 2018Tradução . . Disponível em: https://doi.org/10.31031/OABB.2018.02.000527. Acesso em: 09 jan. 2026. -
APA
Elbatal, I., Louzada, F., & Granzotto, D. C. T. (2018). A new lifetime model: the Kumaraswamy extension exponential distribution. Open Access Biostatistics and Bioinformatics, 2( 1), 1-9. doi:10.31031/OABB.2018.02.000527 -
NLM
Elbatal I, Louzada F, Granzotto DCT. A new lifetime model: the Kumaraswamy extension exponential distribution [Internet]. Open Access Biostatistics and Bioinformatics. 2018 ; 2( 1): 1-9.[citado 2026 jan. 09 ] Available from: https://doi.org/10.31031/OABB.2018.02.000527 -
Vancouver
Elbatal I, Louzada F, Granzotto DCT. A new lifetime model: the Kumaraswamy extension exponential distribution [Internet]. Open Access Biostatistics and Bioinformatics. 2018 ; 2( 1): 1-9.[citado 2026 jan. 09 ] Available from: https://doi.org/10.31031/OABB.2018.02.000527 - Cooperative parallel particle filters for online model selection and applications to urban mobility
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Informações sobre o DOI: 10.31031/OABB.2018.02.000527 (Fonte: oaDOI API)
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