Bayesian confidence intervals for the difference between variances of delta-lognormal distributions.
highest posterior density
probability-matching prior
rainfall
reference prior
variance
Journal
Biometrical journal. Biometrische Zeitschrift
ISSN: 1521-4036
Titre abrégé: Biom J
Pays: Germany
ID NLM: 7708048
Informations de publication
Date de publication:
11 2020
11 2020
Historique:
received:
07
03
2019
revised:
25
03
2020
accepted:
26
03
2020
pubmed:
23
6
2020
medline:
9
9
2021
entrez:
23
6
2020
Statut:
ppublish
Résumé
Unnatural rainfall fluctuation can result in such severe natural phenomena as drought and floods. This variability not only occurs in areas with unusual natural features such as land formations and drainage but can also be due to human intervention. Since rainfall data often contain zero values, evaluating rainfall change is an important undertaking, which can be estimated via the confidence intervals for the difference between delta-lognormal variances using the highest posterior density-based reference (HPD-ref) and probability-matching (HPD-pm) priors. Simulation results indicate that HPD-pm performances were better than other methods in terms of coverage rates and relative average lengths for the difference in delta-lognormal variances, even with a large difference in variances. To illustrate the efficacy of our proposed methods, we applied them to daily rainfall data sets for the lower and upper regions of northern Thailand.
Identifiants
pubmed: 32567112
doi: 10.1002/bimj.201900079
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1769-1790Subventions
Organisme : Thailand Science Research and Innovation (TSRI) and National Research Council of Thailand (NRCT)
ID : PHD/0198/2561
Pays : International
Organisme : King Mongkut's University of Technology North Bangkok
ID : KMUTNB-61-KNOW-005
Pays : International
Informations de copyright
© 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
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