LINEAR MODELING OF IRREGULARLY SPACED, UNBALANCED, LONGITUDINAL DATA FROM PERMANENT-PLOT MEASUREMENTS

被引：250

作者：

GREGOIRE, TG ^{[1
]}

SCHABENBERGER, O ^{[1
]}

BARRETT, JP ^{[1
]}

机构：

[1] UNIV NEW HAMPSHIRE,DEPT FOREST RESOURCES,DURHAM,NH 03824

来源：

CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE | 1995年 / 25卷 / 01期

关键词：

D O I：

10.1139/x95-017

中图分类号：

S7 [林业];

学科分类号：

0829 ; 0907 ;

摘要：

A linear mixed-effects model that accounts for the covariances among repeated measurements and for random plot effects is developed. A continuous-time autocorrelation error structure permits the model to be applied to irregularly spaced, unbalanced data. A strategy for fitting this model and diagnostic tools for assessing its goodness of fit are presented and demonstrated. The model is fitted to two permanent-plot data bases and shows marked improvement compared with models that do not account for the error structure.

引用

页码：137 / 156

页数：20

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