Abstract:
:This paper illustrates the advantages of a multilevel/hierarchical approach for predictive modeling, including flexibility of model formulation, explicitly accounting for hierarchical structure in the data, and the ability to predict the outcome of new cases. As a generalization of the classical approach, the multilevel modeling approach explicitly models the hierarchical structure in the data by considering both the within- and between-group variances leading to a partial pooling of data across all levels in the hierarchy. The modeling framework provides means for incorporating variables at different spatiotemporal scales. The examples used in this paper illustrate the iterative process of model fitting and evaluation, a process that can lead to improved understanding of the system being studied.
journal_name
Ecologyjournal_title
Ecologyauthors
Qian SS,Cuffney TF,Alameddine I,McMahon G,Reckhow KHdoi
10.1890/09-1043.1subject
Has Abstractpub_date
2010-02-01 00:00:00pages
355-61issue
2eissn
0012-9658issn
1939-9170journal_volume
91pub_type
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