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Brian R. Gray Roger J. Haro James T. Rogala 《Environmental and Ecological Statistics》2010,17(4):573-591
Multilevel models are used to model processes associated with hierarchical data structures. Despite infrequent use in the
biological and environmental sciences, the use of these models with hierarchically-structured data conveys multiple advantages.
These include the assessment of whether covariate effects differ among groups or clusters, and separate estimation of covariate
effects by hierarchical level (thereby addressing atomistic and aggregation fallacy concerns). We illustrate these advantages
using larval mayfly count data derived from annual surveys on the Mississippi River and a continuous covariate (water depth). 相似文献
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Grzegórska Anna Czaplicka Natalia Antonkiewicz Jacek Rybarczyk Piotr Baran Agnieszka Dobrzyński Krzysztof Zabrocki Dawid Rogala Andrzej 《Environmental science and pollution research international》2023,30(9):22305-22318
Environmental Science and Pollution Research - Phytoremediation, as a cost-effective, highly efficient, environmentally friendly, and green approach, gained attention to the removal of metals,... 相似文献
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