The poly-log Weibull model applied to space-time interpolation of temperature-Reference-Cited by-同舟云学术

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The poly-log Weibull model applied to space-time interpolation of temperature

Published:2018-07-12 Issue:7 Volume:29 Page:e2520
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Mota A. L.¹,De Lima M. S.¹,Demarqui F. N.²,Duczmal L. H.³

Affiliation:

1. Department of Statistics; Federal University of Amazonas; 69077-000 Manaus Brazil

2. Department of Statistics; Fluminense Federal University; 24210-201 Rio de Janeiro Brazil

3. Department of Statistics; Federal University of Minas Gerais; 31270-901 Belo Horizonte Brazil

Funder

Fundação de Amparo à Pesquisa do Estado do Amazonas

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Publisher

Wiley

Subject

Ecological Modelling,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/env.2520/fullpdf

Reference20 articles.

1. Bayesian analysis for the poly-Weibull distribution;Berger;Journal of the American Statistical Association,1993

2. Spatial Modeling of extreme snow depth;Blanchet;Annals of Applied Statistics,2011

3. An exploratory data analysis of the temperature fluctuations in a spreading fire;Brillinger;Environmetrics,2014

4. Spatial hierarchical modeling of precipitation extremes from a regional climate model;Cooley;Journal of Agricultural, Biological, and Environmental Statistics,2010

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