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 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 ...
Non-performing loans (NPLs) are detrimental to profits in the banking sector. Predicting the level of NPLs using macroeconomic variables is vital in order to build mitigating actions for such scenarios to safeguard the ...
Policy lapse is a vital component in life insurance as it affects future pricing and impacts the solvency of the life insurer. Accurate prediction of lapse will help the insurers to implement personalised retention strategies ...
The premise of this study is that price fluctuations amongst exchange rates, stock and
commodities markets are dynamically linked. The study models monthly price changes
amongst these markets in 20 highest World Bank ...
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 ...
Nowadays human activities produce massive amounts of data everyday. It is estimated that 2.5
quintillions bytes of data are produced daily. The ability to analyse and interpret such data, usually
referred to as ‘big ...
Abstract
Background
The distribution of HIV is not uniform in Ethiopia with some regions recording higher prevalence than others. However, reported regional HIV prevalence ...
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 conventional approach in determining HIV risk factors fails to consider the influence behavioural and biological factors may have when modelled jointly. This study investigates the extent of influence behavioural and ...
If solar power is to be integrated into the national grid in large volumes, it should be backed up by accurate short-term solar irradiance forecasting information. This is because system de signers in the solar power markets ...
Background. South Africa (SA) is experiencing an epidemiological transition as a result of sociodemographic and lifestyle changes. This
process is leading to an increase in non-communicable diseases, which in turn may ...
Stroke is currently the second prevalent cause of death and disability worldwide. South Africa (SA) is experiencing an epidemiological transition due to socio-demographic and lifestyle changes leading to an increase of ...
Double sampling procedure is adapted from a statistical branch called acceptance sampling. The first Shewhart-type double sampling monitoring scheme was introduced in the statistical process monitoring (SPM) field in 1974. ...
The objective of the study was to identify the factors that affect the survival lifetime of HIV+ terminal patients in rural district hospitals of Albert Luthuli municipality in the Mpumalanga province of South Africa. A ...
In this paper, Burr-type XII X¯ synthetic schemes are proposed as an alternative to the classical X¯ synthetic schemes when the assumption of normality fails to hold. First, the basic design of the Burr-type XII X¯ synthetic ...
Copulas functions are a flexible tool for modelling the dependence structure between variables. The joint and marginal distributions of Copulas are not constrained by the assumptions of normality. This study examines the ...