On the Smoothing of the Generalized Extreme Value Distribution Parameters Using Penalized Maximum Likelihood: A Case Study on UVB Radiation Maxima in the Mexico City Metropolitan Area

On the Smoothing of the Generalized Extreme Value Distribution Parameters Using Penalized Maximum Likelihood: A Case Study on UVB Radiation Maxima in the Mexico City Metropolitan Area

This paper concerns the use and implementation of penalized maximum likelihood procedures to fitting smoothing functions of the generalized extreme value distribution parameters to analyze spatial extreme values of ultraviolet B radiation (UVB) radiation across the Mexico City metropolitan area in t...

Full description

Bibliographic Details
Main Authors: Alejandro Ivan Aguirre-Salado, Carlos Arturo Aguirre-Salado, Ernesto Alvarado, Alicia Santiago-Santos, Guillermo Arturo Lancho-Romero
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Mathematics
Subjects:
penalized maximum likelihood
extreme value theory
smoothing functions
nonstationary
uvb radiation
mexico city
Online Access:https://www.mdpi.com/2227-7390/8/3/329

Internet

https://www.mdpi.com/2227-7390/8/3/329

Similar Items