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Non-linear mixed-effects modeling software

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Nonlinear mixed effects models are a special case of Regression analysis. Their statistical properties make direct estimation by a Gauss–Markov theorem impossible. Nonlinear mixed effects models are therefore estimated according to Maximum Likelihood principles.[1]

  1. ^ Davidian, Marie; Giltinan, David M. (1995-06-01). Nonlinear Models for Repeated Measurement Data. CRC Press. ISBN 978-0-412-98341-2.
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