A generalized log-gamma mixture model for cure rate: estimation and sensitivity analysis (2009)
- Authors:
- USP affiliated authors: ORTEGA, EDWIN MOISES MARCOS - ESALQ ; CANCHO, VICENTE GARIBAY - ICMC
- Unidades: ESALQ; ICMC
- Subjects: ANÁLISE DE SOBREVIVÊNCIA; CURA; DADOS CENSURADOS; DISTRIBUIÇÕES (PROBABILIDADE); MODELOS MATEMÁTICOS; NEOPLASIAS
- Keywords: Análise de sensibilidade
- Language: Inglês
- Imprenta:
- Source:
- Título: Sankhyã : The Indian Journal of Statistics
- ISSN: 0976-3139
- Volume/Número/Paginação/Ano: v. 71B, Part 1, p. 1-29, 2009
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ABNT
ORTEGA, Edwin Moises Marcos e CANCHO, Vicente Garibay e LACHOS, Victor H. A generalized log-gamma mixture model for cure rate: estimation and sensitivity analysis. Sankhyã : The Indian Journal of Statistics, v. 71B, p. 1-29, 2009Tradução . . Disponível em: Disponível em: https://www.jstor.org/stable/41342719?seq=3. Acesso em: 04 out. 2024. -
APA
Ortega, E. M. M., Cancho, V. G., & Lachos, V. H. (2009). A generalized log-gamma mixture model for cure rate: estimation and sensitivity analysis. Sankhyã : The Indian Journal of Statistics, 71B, 1-29. Recuperado de Disponível em: https://www.jstor.org/stable/41342719?seq=3 -
NLM
Ortega EMM, Cancho VG, Lachos VH. A generalized log-gamma mixture model for cure rate: estimation and sensitivity analysis [Internet]. Sankhyã : The Indian Journal of Statistics. 2009 ; 71B 1-29.[citado 2024 out. 04 ] Available from: Disponível em: https://www.jstor.org/stable/41342719?seq=3 -
Vancouver
Ortega EMM, Cancho VG, Lachos VH. A generalized log-gamma mixture model for cure rate: estimation and sensitivity analysis [Internet]. Sankhyã : The Indian Journal of Statistics. 2009 ; 71B 1-29.[citado 2024 out. 04 ] Available from: Disponível em: https://www.jstor.org/stable/41342719?seq=3 - A power series beta Weibull regression model for predicting breast carcinoma
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