The Analysis of Designed Experiments and Longitudinal Data by Using Smoothing Splines
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Publication:4262922
DOI10.1111/1467-9876.00154zbMath0956.62062OpenAlexW2153287720MaRDI QIDQ4262922
Brian R. Cullis, Arūnas P. Verbyla, Michael G. Kenward, Sue J. Welham
Publication date: 11 March 2001
Published in: Journal of the Royal Statistical Society Series C: Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/1467-9876.00154
longitudinal datarandom coefficient modelsbest linear unbiased predictionanalysis of variancemixed modelscubic smoothing splinesresidual maximum likelihood
Applications of statistics to biology and medical sciences; meta analysis (62P10) Design of statistical experiments (62K99)
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