Regression Spline Mixed Models: a forestry example

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9 Citations (Scopus)

Abstract

In this article, regression splines are used inside linear mixed models to explore nonlinear longitudinal data. The regression spline bases are generated using a single knot chosen using biological information-a knot position supported by an automated knot selection procedure. A variety of inferential procedures are compared. The variance in the data was closely modeled using a flexible model-based covariance structure. a robust method and the nonparametric bootstrap, while the variance was underestimated when independent random effects were assumed.

Original languageEnglish
Pages (from-to)394-410
Number of pages17
JournalJournal of Agricultural, Biological and Environmental Statistics
Volume10
Issue number4
DOIs
Publication statusPublished - Dec 2005

Keywords

  • AR(1) errors
  • covariance structure
  • linear mixed model
  • nonparametric bootstrap
  • robust inference
  • serial correlation
  • HEIGHT-DIAMETER MODEL
  • LONGITUDINAL DATA
  • CURVES
  • IDENTIFICATION
  • PENALTIES

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