Geostatistical mixed beta regression: a Bayesian approach
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Scholar |
Altres documents de l'autoria: Lagos Álvarez, Bernardo M.; Fustos Toribio, Roberto Miguel; Figueroa Zúñiga, Jorge; Mateu, Jorge
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http://dx.doi.org/10.1007/s00477-016-1308-5 |
Metadades
Títol
Geostatistical mixed beta regression: a Bayesian approachAutoria
Data de publicació
2017Editor
Springer VerlagCita bibliogràfica
Lagos-Álvarez, B. M., Fustos-Toribio, R., Figueroa-Zúñiga, J., & Mateu, J. (2017). Geostatistical mixed beta regression: a Bayesian approach. Stochastic Environmental Research and Risk Assessment, 31(2), 571-584Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
https://link.springer.com/article/10.1007/s00477-016-1308-5Paraules clau / Matèries
Resum
This paper develops regression techniques for
geostatistical data, with an emphasis in proportions mea-
sured on a continuous scale. Specifically, it deals with Beta
regression models with mixed effects to control ... [+]
This paper develops regression techniques for
geostatistical data, with an emphasis in proportions mea-
sured on a continuous scale. Specifically, it deals with Beta
regression models with mixed effects to control the spatial
variability from a Bayesian approach. We use a suit-
able parametrization of the Beta distribution in terms of its
mean and the precision parameter, allowing for both
parameters to be modeled through regression structures
that may involve fixed and random effects. Specification of
prior distributions is discussed, computational implemen-
tation via Gibbs sampling is provided, and the methodol-
ogy is illustrated using simulated and real data. [-]
Publicat a
Stochastic Environmental Research and Risk Assessment, 2017, vol. 31, núm. 2Drets d'accés
© Springer-Verlag Berlin Heidelberg 2016
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