The word is not interested in the storm you encountered but did you bring the ship in? It's is not the time a man spends in planning, it's the faith and confidence he put in his planning that really counts. Investigation has revealed that the economic base of Nigeria base on the crude oil. Hence there is every need to take a critical look into the production pattern of this product as to ascertain the trend direction to enable us understand the progressive or regressive direction of th...
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 normalized BI...
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 auto regressive 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 obtain ...
ABSTRACTLongitudinal data are common in various sectors where repeated measurements on a dependent variable are collected for all subjects. Missing data pattern are caused when most planned measurements are unavailable for some subjects. The dropout process may cause three missing values mechanism, namely: Missing Completely at Random (MCAR), Missing at Random (MAR), and Missing Not at Random (MNAR). The missing values have influence on quantitative study that can be serious, leading to bias...
ABSTRACT This thesis is an educational piece which deals with methods and decision-making ways of detecting for life expectancy in the sub-Saharan region of Ghana precisely the Accra Metropolitan area. The data was picked from the archives of the district health directorate of Accra Metropolitan area. A secondary data was used the variables of interest includes age, number of deaths and population and this was done by searching for the age data of the given period and matching it to the numb...
ABSTRACT The aim of this study was to investigate cereal crop yields in Ghana. Specifically, this research determines whether there is a significant difference in the yields across the ten regions in Ghana and also finds out the evolution of crop yields among the regions. Data on two major cereal crops (Maize and Rice) produced and consumed in Ghana was attained from Ministry of food and Agriculture (MOFA). Multivariate Analysis of Variance (MANOVA) and Linear Mixed model (LMM) were employed...
ABSTRACT This thesis considers logistic regression and discriminant analysis. Because the ordinary least regression requires that a dependent variable in a study cannot be categorical, the logistic regression and the discriminant analysis techniques are two major techniques that are often used to handle categorical dependent variable problems. This study, therefore, seeks to getting answer to the question of whether using the logistic regression and the discriminant analysis techniques, on th...
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 This research is based on the results of Senior Secondary School Certificate Examination (SSSCE) released by the West African Examinations Council in elective and core subjects of study at Potsin T. I. Ahmadiyya Secondary School from 2000 to 2003. The elective programmes of study are General Arts, Business, Home Economics and Technical subjects. The data also includes the gender and religious affiliation of candidates. The main objective of the study is to identify variables that sig...
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...
ABSTRACT The objective of this study is to present empirical evidence obtained through household survey in order to understand which factors are associated with children who obtain a birth certificate, and thus realize their right to a name and legal identity. Discriminate analysis was used to determine the factors that explain the differences between households who register their children and those who do not. 13 independent variables were analyzed against two levels of the dependent variabl...
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...