Artikel
Negative binomial Kumaraswamy-G cure rate regression model
In survival analysis, the presence of elements not susceptible to the event of interest is very common. These elements lead to what is called a fraction cure, cure rate, or even long-term survivors. In this paper, we propose a unified approach using the negative binomial distribution for modeling cure rates under the Kumaraswamy family of distributions. The estimation is made by maximum likelihood. We checked the maximum likelihood asymptotic properties through some simulation setups. Furthermore, we propose an estimation strategy based on the Negative Binomial Kumaraswamy-G generalized linear model. Finally, we illustrate the distributions proposed using a real data set related to health risk.
- Language
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Englisch
- Bibliographic citation
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Journal: Journal of Risk and Financial Management ; ISSN: 1911-8074 ; Volume: 11 ; Year: 2018 ; Issue: 1 ; Pages: 1-14 ; Basel: MDPI
- Classification
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Wirtschaft
- Subject
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long-term survivors
Kumaraswamy family
survival analysis
negative binomial distribution
generalized linear model
- Event
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Geistige Schöpfung
- (who)
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D'Andrea, Amanda
Rocha, Ricardo
Tomazella, Vera
Louzada, Francisco
- Event
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Veröffentlichung
- (who)
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MDPI
- (where)
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Basel
- (when)
-
2018
- DOI
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doi:10.3390/jrfm11010006
- Handle
- Last update
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10.03.2025, 11:43 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- D'Andrea, Amanda
- Rocha, Ricardo
- Tomazella, Vera
- Louzada, Francisco
- MDPI
Time of origin
- 2018
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