The new Neyman type A generalized odd log-logistic-G-family with cure fraction
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Publication:5867700
DOI10.1080/02664763.2021.1922994OpenAlexW3158597885WikidataQ114100825 ScholiaQ114100825MaRDI QIDQ5867700
Adriano K. Suzuki, Valdemiro Piedade Vigas, Edwin M. M. Ortega, Giovana Oliveira Silva
Publication date: 14 September 2022
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2021.1922994
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- A new threshold regression model for survival data with a cure fraction
- On the unification of long-term survival models
- Estimating nonlinear effects in the presence of cure fraction using a semi-parametric regression model
- The new Neyman type A beta Weibull model with long-term survivors
- A new long-term survival model with dispersion induced by discrete frailty
- The destructive negative binomial cure rate model with a latent activation scheme
- A general long-term aging model with different underlying activation mechanisms: Modeling, Bayesian estimation, and case influence diagnostics
- How to Identify a Bathtub Hazard Rate
- Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review
- A Method of Increasing Power of a Test for the Negative Binomial and Neyman Type A Distributions
- A flexible bimodal model with long-term survivors and different regression structures
- The Topp-Leone generalized odd log-logistic family of distributions: properties, characterizations and applications
- The generalized odd log-logistic family of distributions: properties, regression models and applications
- Flexible Cure Rate Modeling Under Latent Activation Schemes
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