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On a new mixture-based regression model: simulation and application to data with high censoring
Work
Year: 2020
Type: article
Abstract: We propose a new continuous-discrete mixture regression model which is useful for describing highly censored data. We motivate our investigation based on a case-study in biometry related to measles va... more
Source: Journal of Statistical Computation and Simulation
Authors Mário F. Desousa, Helton Saulo, Manoel Santos‐Neto, Víctor Leiva
Institutions Universidade Federal de Goiás, Universidade Estadual de Campinas (UNICAMP), Universidade de Brasília, Universidade Federal de Campina Grande, Pontificia Universidad Católica de Valparaíso
Cites: 40
Cited by: 9
Related to: 10
FWCI: 1.082
Citation percentile (by year/subfield): 73.72
Topic: Statistical Distribution Estimation and Applications
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
Funders Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica