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 ...
Abstract
The increasing and alarming occurrence of disaster caused by flooding in Nigeria has necessitated this research work. There abound publications just describing the problem and calling for urgent help to reduce ...
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 ...