ABSTRACT Risk research has found significant differences in perceptions among groups of individuals divided by gender, age, religion, etc. Successful research in risk perception improves risk communication, as it helps policy makers and stakeholders direct education efforts appropriately. In this study, we evaluate the effect of religious belief on health risk perception in order to justify reasons for further research. A total of 343 public sector workers from the Asikuma-Odoben-Brakwa distr...
ABSTRACT It is generally acknowledged that availability of data remains critical to effective monitoring of poverty indicators and evaluation of policies and programmes towards alleviating poverty. The paucity of data has reduced the frequency of measuring poverty indicators at the national and regional level. District level poverty indicators are yet to be estimated since sampling designed data collected can only provide national and regional level indicators. This thesis applied multiple im...
ABSTRACT A Large system is difficult to study globally. Its study requires some random procedure that can expose some of its properties to enable the identification of its typical behaviour. To this end, uniformly random regular graphs were generated due to their fascinating properties and applications. The Potts model was used to assign spin values to the vertices of the graph from a finite spin space. Errors do occur in large system rarely but when they do, their impact may cause some dest...
Several non-linear models have been proposed by various authors for the analysis of growth data. In this thesis, three models, viz, Gompertz, Exponential and Polynomial models were used to analyze some forestry data, namely, a tree species 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, e...
ABSTRACT This research tries to determine the “hidden” factors which ultimately influence the choice of mobile phone network in Cape Coast Polytechnic (study area). Principal Component method of Factor analysis is used to achieve the set objectives. There are six mobile phone network providers (MTN, Vodafone, Tigo, Airtel, Globacom and Expresso) in Ghana. All these operators try to improve their marketing strategies in order to attract more customers or subscribers to increase their marke...
ABSTRACT The bivariate Bernoulli model was used to estimate covariate parameters for conditional as well as marginal models for the NIDs datasets. This is a follow- up research on one conducted by Islam et al. (2012) which introduced the use of the bivariate Bernoulli model to properly specify the dependence among bivariate binary responses. The covariate parameters were estimated by first expressing the proposed model in the exponential family form, finding the log-likelihood function and th...
ABSTRACT The Minimum Description Length (MDL) provides an attractive basis for statistical inference and model selection. However, little is known about the relative performance of its different formulations in Asymmetric Price Transmission (APT) modelling framework. To explore these issues, the study investigates different formulations of the MDL against commonly used alternatives (AIC and BIC) in terms of their ability to recover the true asymmetric data generating process (DGP) under vario...
ABSTRACT Studies into income, expenditure and standard of living of individuals and households are well documented in literature. Many of these studies cover different forms of poverty indicators and variables. The methods used in this analysis were mainly econometric models. The study is concerned with determining the indicators and variables that possibly influence income, expenditure and living standard of households. The objective here is to model the determinants of living standards or p...
ABSTRACT Most of the methodologies employed in analyzing stock time series data are based on the assumption of Efficient Market Hypothesis which does not assume long range memory or dependence in the data generating process. However empirical evidence from stock data fails to support the lack of dependence especially in developing countries. This study investigated the long range memory in some selected equities on the Ghanaian stock market using non-parametric and parametric methods. Using t...
ABSTRACT This study evaluated the relationship between possible medical and social factors affecting maternal deaths. A conceptual framework was developed to help identify, classify, model and resolve these factors (by implementing the recommendations). A generalized linear model was fixed using the ‘R’ statistical analysis software. Three data sets (2016 and 2013 data sets on maternal mortality, and a data set on the causes of maternal deaths) were used in the analysis, which showed wide...
ABSTRACT Education has been defined as the act or process of imparting or acquiring general knowledge, developing the process of reasoning and judgment, and generally of preparing oneself or others intellectually for mature life. It is an unarguable fact across the globe that a nation’s development rests on the education of its citizens. But for a country to achieve a high literacy rate, basic education, which is regarded as the foundation should be held in high esteem. For this reason, gov...
ABSTRACT This study demonstrated the application of Markov S-I-R model and other statistical methods in exploring HIV, Tuberculosis (TB) and Hepatitis B (HB)disease outcomes using Ghanaian data. Secondary datasets from cohort studies were collected from records from the Ashanti Regional Hospital. Relevant disease metrics as well as transition probabilities were generalized for each disease. Method of Competing risks was used to further estimate the crude, partial crude and net probabilities o...
ABSTRACT Rating undergraduate programs of higher educational institutions is a common, albeit argumentative practice. However, prospective students, parents and faculty members deserve the opportunity to compare the relative strengths of the programs and the institutions when making educational and (or) personal decisions. The main objective of this research is to evaluate statistics programs indicators of the tertiary institutions. The researcher actually wants to know which of the indicator...
ABSTRACT The estimation of multiple characteristics using Probability Proportional to Size (PPS) sampling scheme has introduced some complexities in sample surveys. It requires transformation of auxiliary information into probability measures and the utilization of correlation coefficient between study variables y and measure of size x. Existing estimators of finite population characteristics are rigidly specified by a fixed order of positive correlation between y and x and are assumed effic...
ABSTRACT The Bayesian approach conveys information not available in the data but on prior knowledge of the subject matter, which enables one to make probability statements about the parameters of interest, while the classical approaches deals solely with the data. Several researches on the classical approaches have shown them to be sensitive to multicollinearity, a violation of one of the assumptions of multi-equation models which often plagues economic variables. Studies on the performance ...