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.
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页码：137 / 156
页数：20
相关论文
共 65 条
[1]   SELECTION OF REGRESSORS [J].
AMEMIYA, T .
INTERNATIONAL ECONOMIC REVIEW, 1980, 21 (02) :331-354
[2]  
BARRETT JP, 1976, J FOREST, V74, P450
[3]  
Belsley D.A., 2005, REGRESSION DIAGNOSTI
[4]  
BIGING GS, 1985, FOREST SCI, V31, P248
[5]   MODEL SELECTION AND AKAIKE INFORMATION CRITERION (AIC) - THE GENERAL-THEORY AND ITS ANALYTICAL EXTENSIONS [J].
BOZDOGAN, H .
PSYCHOMETRIKA, 1987, 52 (03) :345-370
[6]  
CANDY S G, 1989, New Zealand Journal of Forestry Science, V19, P112
[7]   MODELS FOR LONGITUDINAL DATA WITH RANDOM EFFECTS AND AR(1) ERRORS [J].
CHI, EM ;
REINSEL, GC .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1989, 84 (406) :452-459
[8]   CASE-DELETION DIAGNOSTICS FOR MIXED MODELS [J].
CHRISTENSEN, R ;
PEARSON, LM ;
JOHNSON, W .
TECHNOMETRICS, 1992, 34 (01) :38-45
[9]  
Cook R Dennis, 1982, RESIDUALS INFLUENCE
[10]  
Davidian M, 1993, J Biopharm Stat, V3, P23, DOI 10.1080/10543409308835047
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