THE STATISTICAL ANALYSIS OF THE NUMBER OF ADMITTED AND RELEASED CHILDREN IN THE MOTHERLESS BABIES HOME
Motherless babies have nowadays become common because of moral deca-dence of the society, young people who cannot cater for themselves and ndthemselves put in a family way end up abandoning their babies. The increas-ing hardship of the present economic recession has increased the incidence ofburden on families and the consequent loss of rm control of family members.Time series analysis is use to model the admission and release of children inthe motherless or orphanage home and the data use fo...
DESIGNING A HOSPITAL INVENTORY MANAGEMENT SYSTEM: A CASE STUDY OF UNIVERSITY OF IBADAN HEALTH SERVICES (JAJA CLINIC)
The lack of knowledge of the availability of some drugs in hospitals can affect the treatment of patients in hospitals. The hospital inventory management system is a system that maintains inventories of drugs, hospital accounting. It is stored in the system database, which helps the Hospital management, Staff, Doctors and Nurses in taking absolute care of the patients in the Hospital. Hospital inventory management system also involves the clinical sphere of healthcare...
Bayesian Estimation of Parameters of A Linear Regression Model With Correlated Explanatory Variables
This paper addressed the popular issue of collinearity among explanatory variables in the context of a multiple linear regression analysis, and the parameter estimations of both the classical and the Bayesian approaches were compared using Mean Square Error (MSE) and Absolute bias. Five sample sizes: 10, 25, 50, 100 and 500 each replicated 1000 times were simulated using Monte Carlo method. Four degrees of correlation representing no correlation, weak correlation, moderate correlation and ...
REGRESSION METHODS IN THE PRESENCE OF HETEROSCEDASTICITY AND OUTLIERS
It has been observed over the years that real life data are usually non-conforming to the classical linear regression assumptions. One of the stringent assumptions that is unlikely to hold in many applied settings is that of homoscedasticity. When homogenous variance in a normal regression model is not appropriate, invalid standard inference procedure may result from the improper estimation of standard error when the disturbance process in a regression model present heteroscedasticity. When...