Journal
JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS
Volume 10, Issue 4, Pages 394-410Publisher
SPRINGER
DOI: 10.1198/108571105X80194
Keywords
AR(1) errors; covariance structure; linear mixed model; nonparametric bootstrap; robust inference; serial correlation
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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.
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