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Oliver Schabenberger, Timothy G. Gregoire

A conspectus on Estimating Function theory and its applicability to recurrent modeling issues in forest biometry.

Schabenberger O., Gregoire T.G. (1995). A conspectus on Estimating Function theory and its applicability to recurrent modeling issues in forest biometry. Silva Fennica vol. 29 no. 1 article id 5546. https://doi.org/10.14214/sf.a9197

Abstract

Much of forestry data is characterized by a longitudinal or repeated measures structure where multiple observations taken on some units of interest are correlated. Such dependencies are often ignored in favour of an apparently simpler analysis at the cost of invalid inferences. The last decade has brought to light many new statistical techniques that enable one to successfully deal with dependent observations. Although apparently distinct at first, the theory of Estimating Functions provides a natural extension of classical estimation that encompasses many of these new approaches. This contribution introduces Estimating Function Theory as a principle with potential for unification and presents examples covering a variety of modelling issues to demonstrate its applicability.

Keywords
longitudinal data; mixed models; generalized linear models; optimality; statistical methods; modelling

Published in 1995

Available at https://doi.org/10.14214/sf.a9197 | Download PDF

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