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文献信息
Environmetrics, the official journal of The International Environmetrics Society (TIES), an Association of the International Statistical Institute, is devoted to disseminating high-quality quantitative research in the environmental sciences. The journal welcomes pertinent and innovative submissions from quantitative disciplines developing new statistical models, methods, and theories that solve modern environmental problems. Articles must proffer substantive statistical advances to answer important scientific questions in the environmental sciences, or must develop novel or enhanced statistical methodology with clear applications to environmental science. New methods should be illustrated with recent environmental data.
Time SeriesMarkov Chain Monte CarloEnvironmental DataAir PollutionSpatial StatisticsSpatial PredictionMaximum LikelihoodBayesian Hierarchical ModelSpatial DependenceExtreme Value TheoryHierarchical ModelMeasurement ErrorBayesian InferenceFunctional DataCovariance FunctionNormal DistributionConfidence IntervalsModel SelectionRandom EffectsMaximum Likelihood Estimation
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