This paper studies the international mobility of capital and labour. Using a Mixed Linear Model (MMA) the authors analyse the interaction of emigration and immigration with foreign direct investment, exports and imports, and international remittances. The sample comprises 112 countries with...

In contrast to other studies, this paper examines the determinants of short-term child health by controlling for the long-term health status of children.  Using data from rural Ethiopia and linear mixed models that control for individual heterogeneity, the empirical analysis indicate that the...

The penalized calibration technique in survey sampling combines usual calibration and soft calibration by introducing a penalty term. Certain relevant estimates in survey sampling can be considered as penalized calibration estimates obtained as particular cases from an optimization problem with...

Microarray experiments produce expression measurements for thousands of genes simultaneously, though usually for a small number of RNA samples. The most common problem is the identification of genes that are differentially expressed between different groups of samples or biological conditions....

Microarrays are a tool for measuring the expression levels of a large number of genes simultaneously. In the microarray experiment, however, many undesirable systematic variations are observed. Correct identification and removal of these variations is essential to allow the comparison of...

Common methods for estimating variance components in Linear Mixed Models include Maximum Likelihood (ML) and Restricted Maximum Likelihood (REML). These methods are based on the strong assumption of multivariate normal distribution and it is well know that they are very sensitive to outlying...