Multivariate longitudinal ordinal data are collected for studying the dependence between
multivariate ordinal outcomes, the changes over time and associated determinant factors. This
emanates from the interdependence ...
The underperforming agricultural sector in Sub-Saharan Africa (SSA) has left African countries with
insufficient food production in the face of challenges related to climate change, diseases and
increasing population ...
The importance of robust variable selection and regularization as solutions to the collinearity influential
high leverage points’ adverse effects in a quantile regression (QR) setting cannot be overemphasized,
just as ...
This study estimates cointegration models by applying the Engle-Granger (1989) two-step estimation procedure, the Phillip-Ouliaris (1990) residual-based test and Johansen’s multivariate
technique. The cointegration ...