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Mezcla de Gompertz para modelar la evolución de la dinámica del COVID-19

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Publication:6146563
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DOI10.15517/rmta.v30i1.50927OpenAlexW4318578674MaRDI QIDQ6146563

Unnamed Author, Unnamed Author, Unnamed Author, Rogelio Ramos-Quiroga

Publication date: 31 January 2024

Published in: Revista de Matemática: Teoría y Aplicaciones (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.15517/rmta.v30i1.50927


zbMATH Keywords

Poisson processCox processCOVID-19Gompertz mixture


Mathematics Subject Classification ID

Point estimation (62F10) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)




Cites Work

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  • Statistical inference using extreme order statistics
  • Modeling survival data: extending the Cox model
  • Time varying Markov process with partially observed aggregate data: an application to coronavirus
  • Life distributions. Structure of nonparametric, semiparametric, and parametric families.
  • The EM Algorithm and Extensions, 2E
  • Independent Random Sampling Methods
  • An introduction to statistical modeling of extreme values
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