ABSTRACT The desire to reach the peak of one’s chosen career makes us curious and hardworking enough to attain positions and ranks. This is no different in the academia where lecturers look forward for promotion. However, there are perceived and actual factors contributing to promotion among University of Ghana lecturers which is examined. The factors contributing to promotion of University of Ghana lecturer and how long it takes a lecturer to earn a first promotion, were the objectives of ...
ABSTRACT Most macroeconomic variables such as; inflation, GDP and others have been described by most financial and economic time series analysts to exhibit nonlinear behaviour. Therefore, to cater for this behaviour, the nonlinear class of models have been largely adopted to model and forecast such time series. In this study, the Keenan and Tsay tests for linearity showed inflation and CIC rates follow threshold nonlinear processes. Hence, the two-regime SETAR model was adopted to accommodat...
ABSTRACT The study sought to assess whether gender contributes towards how prospection modulates delay discounting. The relevant data for the study was generated by means of three sets of behavioral experiments; where by equal number of males and females under took inter-temporal tasks involving choosing between instant though smaller reward and deferred yet larger reward, while imaging positive, negative, and neural episodes respectively. In order to test the various hypotheses related to th...
ABSTRACT In most economies of the world, import revenue makes up a significant part of total government revenue (Zhu & Kotz, 2010). Since economic development in a nation is largely driven by the amount of revenue mobilized, import revenue makes an impact on how well an economy develops. This study aims at assessing the contribution of Ghana’s import revenue mobilization to Gross Domestic Product (GDP) growth and investigate the impact of the implementation of the Ghana Community Network (...
ABSTRACT For stochastic time series modelling, an essential property is the underlying statistical model that is assumed to govern the number of defective parts of printed circuit boards in a production process in the manufacturing industries in Ghana. The data was for a period spanning from 2009 to 2014. Considering time series methodology, we specify differences in the data points as a stochastic process assumed to have Markov dependency with respective state transition probabilities matric...
ABSTRACT This research looked at “Statistically Modeling Performance of pre-service teachers” by finding the differences in performance and perceptions if any, between students in the regular and distance modes of teacher education in university of Cape Coast. Pre-service teachers of Accra College of Education and the College of “Distance Education” at Papafio hills, both of university of Cape Coast were used as the population of the research. Students who were admitted in the year 2...
ABSTRACT Time series analysis and forecasting has become a major tool in different applications in business phenomena, such as daily stock prices, weekly interest rates, quarterly sales, monthly supply figures, annual earnings, daily cocoa prices, etc.. It has two goals: perception or modeling random mechanism and prediction of future series quantities according to the past. In this thesis, ARIMA (Auto Regressive Integrated Moving Average) model has been used for monthly cocoa prices at the ...
ABSTRACT There are several literature on the study of the relationship between macroeconomic variables and stock prices. These studies have focused largely on the developed capital market and carried out in the early 1970s. From literature reviewed,there is no study that have modelled the relationship between stock price and, both macroeconomic and micoeconomic variables in the order to explain their combined effect on stock market returns using Autoregressive Distributed Lag (ARDL) model at ...
ABSTRACT The study is based on the stochastic monitoring of Macroeconomic variables in Ghana. The macroeconomic variables that were considered in the study included Inflation rate and the Gross Domestic Product (GDP). The data covered the period from 2009 to 2017 for the monthly inflation rate and 1961 to 2017 for the GDP. All analyses were done using the R software. The Augmented Dickey-Fuller test was used to test the data and the results showed that all the data were stationary after the ...
ABSTRACT In attempt to model tuberculosis epidemic in the Ashanti Region of Ghana, SIR and SEIR deterministic and stochastic epidemiological models with demographic characteristics were employed. Both models showed success in modeling the infection dynamics of tuberculosis in the region. These models equilibrium points were established and their stability investigated through the Routh - Hurwitz stability criterion. The models predicted tuberculosis dying out in the entire region (Disease fr...
AB STRACT This research work describes a study that used measles disease data collected through Knoema health surveillance system to evaluate univariate time series method namely; autoregressive integrated moving average (ARIMA). The data obtained from 1980 to 2016 were used as modeling data and forecasting samples, respectively. The performances were evaluated based on three metrics: mean absolute error (MAE), mean absolute percentage error (MAPE), and mean square error (MSE). A low normaliz...
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 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 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...