文章基本信息

标题：Modelling spatially sampled proportion processes
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作者：Iosu Paradinas ; Maria Grazia Pennino ; Antonio López-Quílez 等
期刊名称：RevStat : Statistical Journal
印刷版ISSN：1645-6726
出版年度：2018
卷号：16
期号：1
页码：71-86
出版社：Instituto Nacional de Estatística
摘要：Many ecological processes are measured as proportions and are spatially sampled. In all these cases the standard procedure has long been the transformation of proportional data with the arcsine square root or logit transformation, without considering the spatial correlation in any way. This paper presents a robust regression model to analyse this kind of data using a beta regression and including a spatially correlated term within the Bayesian framework. As a practical example, we apply the proposed approach to a spatio-temporally sampled fishery discard dataset.
关键词：modelling proportions; beta regression; spatial modelling; Bayesian hierarchical modelling