Canadian Journal of Forest Research, volume 29, issue 12, pages 1824-1828

Modeling trends with annual survey data

Paul C. Van Deusen
Publication type: Journal Article
Publication date: 1999-12-15
scimago Q1
SJR: 0.593
CiteScore: 4.2
Impact factor: 1.7
ISSN: 00455067, 12086037
Ecology
Forestry
Global and Planetary Change
Abstract

Flexible models are proposed for assessing trend in annual forest survey data with increasing levels of generality. The models can be fit to the data using a mixed estimator and compared using the Akaike or Schwarz information criterion. The models also provide smoothed estimates of annual means.

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