A New Quantile Regression Model and Its Diagnostic Analytics for a Weibull Distributed Response with Applications
Standard regression models focus on the mean response based on covariates. Quantile regression describes the quantile for a response conditioned to values of covariates. The relevance of quantile regression is even greater when the response follows an asymmetrical distribution. This relevance is bec...
Guardado en:
Autores principales: | Luis Sánchez, Víctor Leiva, Helton Saulo, Carolina Marchant, José M. Sarabia |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/bbfae4524a2d4e1590a4b7af4c8eb2aa |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Local influence when fitting Gaussian spatial linear models: an agriculture application
por: Grzegozewski,Denise M, et al.
Publicado: (2013) -
An Accurate Method for Studying Individual Microbial Lag: Experiments and Computations
por: Simen Akkermans, et al.
Publicado: (2021) -
Ridge Estimation's Effectiveness for Multiple Linear Regression with Multicollinearity: An Investigation Using Monte-Carlo Simulations
por: O. G. Obadina, et al.
Publicado: (2021) -
Monte Carlo and analytic simulations in nanoparticle-enhanced radiation therapy
por: Paro AD, et al.
Publicado: (2016) -
A Method for Assessing the Impact of Changes in Demand for Coal on the Structure of Coal Grades Produced by Mines
por: Dariusz Fuksa
Publicado: (2021)