Comparing Traditional Longitudinal Modeling Strategies of Forestry with Mixed-Effects Models: Restrictions in Model Formulation
Authors: Stewart, Brock; Jordan, Lewis; Li, Rongxia
Source: Forest Science, Volume 57, Number 5, October 2011 , pp. 408-415(8)
Publisher: Society of American Foresters
Abstract:Generalized algebraic difference approach and site index models, which are commonly fitted to repeated-measures data in forestry, are formulated by specifying that one or more regression parameters depend on a single, common subject-specific quantity. Their formulation leads to shortcomings not present with “effects” types of formulations, which involve specifying each subject-specific regression parameter as depending on at least one local quantity that no other parameters depend on. We give conceptual illustrations as well as empirical examples using published models.
Document Type: Research Article
Publication date: October 1, 2011
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