Statistical advances in environmental science
Copyright policy )Statistical advances in environmental science
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- University of North Carolina System United States
- University of North Carolina at Chapel Hill United States
- Virginia Tech United States
- University of South Carolina United States
- University of South Carolina System United States
model selection, Biometry, interdisciplinary collaboration, extreme value analysis, risk analysis, biometry, environmental health, combining environmental information, spatial statistics, detection limits, space-time sampling, environmetrics, ecological statistics, quantitative risk assessment, environmental statistics, hot spots, rare events, exceedance over threshold, hierarchical Bayesian, hierarchical Bayesian methods, hot spots, interdisciplinary collaboration, time series, trend analysis, Applications of statistics to environmental and related topics, meta analysis, stochastic modeling
model selection, Biometry, interdisciplinary collaboration, extreme value analysis, risk analysis, biometry, environmental health, combining environmental information, spatial statistics, detection limits, space-time sampling, environmetrics, ecological statistics, quantitative risk assessment, environmental statistics, hot spots, rare events, exceedance over threshold, hierarchical Bayesian, hierarchical Bayesian methods, hot spots, interdisciplinary collaboration, time series, trend analysis, Applications of statistics to environmental and related topics, meta analysis, stochastic modeling
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).24 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
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