We present flexible, fully Bayesian models for the covariance structure of unbalanced multivariate repeated measures data. A typical setting involves measurements on many subjects taken at any of a large number of possible times. Unstructured covariance matrices have too many parameters to be fit to this sort of data, so researchers have typically relied on structured covariance matrices which ...

OBJECTIVES There is growing interest in multi-source, multi-level feedback for measuring the performance of health care professionals. However, data are often unbalanced (e.g. there are different numbers of raters for each doctor), uncrossed (e.g. raters rate the doctor on only one occasion) and fully nested (e.g. raters for a doctor are unique to that doctor). Estimating the true score varianc...

The objective of the research is to diminish unwanted forces generated by rotation and unbalanced rotor mass on the rotor of an electrical machine. These forces, dependent on rotational speed, cause vibration that, when occurring in the machine’s natural frequency, causes severe problems. Extra windings are built in the stator of the machine, and they are supplied with current to create an oppo...

Nutritional regulatory responses were compared for the cryptic 'solitarious' and the conspicuously coloured, aggregating 'gregarious' phases of the desert locust Schistocerca gregaria. The desert locust has the genetic potential to exist in either phase, changing between them within a lifetime and epigenetically across generations. Our aim was to compare final-instar nymphs of the two phases wi...