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Nonlinear nonparametric mixed-effects models for unsupervised classification

✍ Scribed by Laura Azzimonti, Francesca Ieva, Anna Maria Paganoni


Book ID
120743805
Publisher
Springer
Year
2012
Tongue
English
Weight
659 KB
Volume
28
Category
Article
ISSN
0943-4062

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The Gauss Markov theorem provides a golden standard for constructing the best linear unbiased estimation for linear models. The main purpose of this article is to extend the Gauss Markov theorem to include nonparametric mixed-effects models. The extended Gauss Markov estimation (or prediction) is sh