Browsing by Subject "Longitudinal data"
Now showing items 1-3 of 3
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(2009-05-15)Modeling covariance structure is important for efficient estimation in longitudinal data models. Modified Cholesky decomposition (Pourahmadi, 1999) is used as an unconstrained reparameterization of the covariance matrix. ...
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(2017-06-05)The partially linear single-index model is a semiparametric model proposed to the case when some predictors are linearly associated with the response variable, while some other predictors are nonlinearly associated with ...
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(2018-06-14)Missing data are very common in many areas such as sociology, biomedical sciences and clinical trials. Simply ignoring the incomplete cases may cause bias in estimation procedures. In this dissertation we investigate ...