Birnbaum-Saunders quantile regression models with application to spatial data

Luis Sánchez, VICTOR ELISEO LEIVA SANCHEZ, Manuel Galea, Helton Saulo

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

In the present paper, a novel spatial quantile regression model based on the Birnbaum-Saunders distribution is formulated. This distribution has been widely studied and applied in many fields. To formulate such a spatial model, a parameterization of the multivariate Birnbaum-Saunders distribution, where one of its parameters is associated with the quantile of the respective marginal distribution, is established. The model parameters are estimated by the maximum likelihood method. Finally, a data set is applied for illustrating the formulated model.

Original languageEnglish
Article number1000
Pages (from-to)1000
Number of pages1
JournalMathematics
Volume8
Issue number6
DOIs
StatePublished - 1 Jun 2020
Externally publishedYes

Keywords

  • Data analytics
  • Geostatistical models
  • Maximum likelihood method
  • Multivariate distributions
  • R software
  • Statistical parameterizations

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