Chapman and Hall/CRC
This monograph is written for students at the graduate level in biostatistics, statistics or other disciplines that collect longitudinal data. It concentrates on the state space approach that provides a convenient way to compute likelihoods using the Kalman filter.
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1. Introduction 2. A General Linear Mixed Model 3. First Order Autoregressive Errors 4. State Space Representations 5. The Laird-Ware Model in State Space Form 6. Autoregressive Moving Average Errors 7. Nonlinear Models 8. Multivariate Models