ABSTRACT This research is about time series analysis and number of babies at birth in Abuja, between 2000-2017 using a monthly data. The box-Jenkin autoregressive integrated moving average (ARIMA) model was estimated and the best fitted model is ARIMA 1,1,1 with Bayesian information criteria (BIC) of 7.580, R2 of 0.402 and with P-values of the perimeters of the model less than 0. 05. The model was further validated with L-Jung Box text with residual been white noise. The mode was use to obtai...
ABSTRACT The focus of the research is to model some risk factors called covariates that influence the blood sugar level of diabetes patients using Generalized Linear Mixed Models (GLMM) and Generalized Estimating Equations (GEE). Both primary and secondary data was obtained from the Diabetes Centre of Maamobi Polyclinic in Accra. Data was obtained on 155 patients for four consecutive times they visit the hospital for review. Analysis of the data was done using SPSS version 20 and R. The find...
ABSTRACT Most experimental situations call for standard designs that can be constructed with many statistical software packages. In some situations, however, standard designs are not appropriate or practicable. Computer-aided designs are experimental designs that are generated based on a particular optimality criterion and are generally optimal only for a specified model. In this work designs are generated for non-standard multifactor experiment using D-optimality criterion. The experiment in...
ABSTRACT Several non-linear models have been proposed by various authors for the analysis of growth data. I n this thesis, three models, viz, Gompertz, Exponential and Polynomial models were used to analyze some forestry data, namely, a tree specie known as Tectona Grandis, collected in the Guinea savanna zone of Nigeria. The three models were compared and using the criteria of low mean square error and high coefficient of determination, it was found that the Gompertz model fits the data best...
ABSTRACT This research work is aimed al studying the impact of health sector reforms on life expectancy in Nigeria using a secondary source of data ranging.from 1980 to 2014 obtainedfi-om the Central Bank Statistical Bulletin and World Bank indicator. Ordinwy least square of multiple regression models was used to establish the relationship betvveen dependent variable and independent variables. The data was analyzed using Eviews 9. 0. The finding revealed that out of the three unit root test c...
ABSTRACT This study is concerned with the female enrolment at the junior secondary school levels in Nigeria. In writing th is project, the approach has been to determine the trend in female enrolment at the junior secondary school level by the geo - political zones. Th i s research work is organized into five chapters. The first chapter deals with the introduct ion of the study. In this chapter, the background informat ion is provided, object ive of the study is outlined and the significance ...
ABSTRACT The recently developed Adjusted Ridge Estimator (ARE) for handling multicollinearity problem in Linear Regression model does not require the use of the biasing or ridge parameter, K, unlike the Ridge Regression Estimators (RRE) rather i t requires a diagonalization of the correlation vector of the explanatory variables and the dependent variable being raised to a power of half In this research, the effects of other powers on the Adjusted Ridge Regression Estimator were investiga...
ABSTRACT Low birth weight and low Apgar score are major determinants of morbidity, mortality and disability in infancy and childhood. These are very important health indicators, but little is known about their causes among HIV-infected mothers in Ghana. They are also risk factors for long-term impact on health outcomes in adult life. Quantitatively, birth weight and Apgar score of an infant summarizes the morbidity conditions (LBW and LAS), with Apgar score measuring the extent of asphyxia. T...
ABSTRACT This study used the VAR models to model the Growth Domestics Products (GDP) of Ghana with other two selected macroeconomic such as inflation and real exchange rate for the period of 1980 to 2013. Data were taken from the World Bank’s World Development Indicators and Bank of Ghana. This study employed co-integration test and vector error correction models (VECM) to examine both long-run and short-run dynamic relationships between the GDP and the macroeconomic variables. The time ser...
ABSTRACT Concerns about the dangers of Cardiovascular Diseases (CVD) have been a major problem all over the world. Hypertension, which is the commonest CVD is gradually usurping the minds of public health workers globally. The disease is the commonest cause of morbidity and mortality all over the world. It is also the commonest cause of heart disease. In this study, we employ the Vector Autoregressive (VAR) modeling approach to model and to forecast hypertension and heart disease cases in the...
ABSTRACT Multiple linear regression analysis may be used to describe the relation of a variable (response variable) based on the score of several other variables (independent variables). The least squares estimate of the regression coefficients are unsteady in that replicate samples can give widely differing values of the regression coefficients if the predictor variables are highly correlated. Ridge and Lasso regression analysis are regularization techniques for eliminating the effect of hig...
ABSTRACT The poor are not evenly distributed within the country and they do not share the same socio-economic and demographic characteristics. It is against this background that analysis of the characteristics that differentiate the poor from the non-poor in Ghana cannot be underestimated. Poverty indicators make it possible to analyze the likely determinants and are, therefore, essential for formulating policy interventions that may contribute directly or indirectly to its alleviation. This ...
ABSTRACT The face is the most widely used part of the human body for recognition. Automated face recognition is all about transferring an inherent trait in humans into machines by supplying the machine with enough information. Face recognition has gained much attention over the past few decades and it is used in numerous application areas which includes but not limited to information privacy, law enforcement and assess management. The study presents an assessment of the Discrete Wavelet Trans...
ABSTRACT Academic performance is vital in education as it helps in the selection and placement of students from one stage to the other on academic ladder. However, academic performance of students in the second cycle institutions has continually declined over the last decade. In 2014, approximately 28 percent of the students who sat for the WASSCE had grade A1 to C6 in all the core subjects. This study identifies statistically significant factors that influence students’ academic performanc...
ABSTRACT With the emergence of the current financial crisis, important advances have been made in credit risk management. Inherent in this management process is the assessment of creditworthiness routine which subsequently leads to a credit granting decision. This study is aimed at developing a statistical model that can be used to ascertain credit assessment and to predict the probability of default of firms seeking credit from a Ghanaian commercial bank. Subsequently, an attempt was made to...