Statistics Research Papers/Topics

Statistical Techniques For The Analysis Of Repeated Measures: An Application To Diabetes Mellitus Data

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...

The Application Of Gompertz, Exponential, And Polynomial Functions In Describing The Growth Of Forest Trees

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...

Statistical Analysis Of Retroviral (Hiv) Status And Other Maternal Risk Factors Associated With Low Birth Weight And Low Apgar Score Of Infants: Evidence From The Greater Accra Regional Hospi

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...

Modeling Gdp Using Vector Autoregressive (Var) Models: An Empirical Evidence From Ghana.

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...

Multivariate Time Series Analysis Of Hypertension And Heart Disease: A Case Study Of The Ho Municipal Hospital

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...

Department Of Statistics And Actuarial Science

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...

Recognition Of Face Images Under Varying Expressions Using Discrete Wavelet Transform And Principal Component Analysis With Singular Value Decomposition

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...

Statistical Modelling Of Factors Affecting Students Academic Performance In The Second Cycle Institutions. A Case Syudy Of Nsawam- Adoagyiri Municipality, Ghana.

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...

Comparative Analysis Of Statistical Models In Credit Assessment

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...

Statistical Analysis Of Factors Influencing The Adoption Of Internet Banking In Ghana: The Customer Perspective

ABSTRACT “Internet banking” is a product offered by commercial banks to enable clients carry out banking transaction at their convenience and at any time. It enables banks to reduce operational cost by reducing the cost of stationary and also number of staff. However, clients of commercial banks in Ghana still prefer conducting transaction at the branches of the banks rather than signing on to internet banking. This is evident in the queues by clients in commercial banks in order to carry...

Survival Analysis of Breast Cancer Patients in Ghana; Using The Non Parametric And Parametric Approach

ABSTRACT This thesis present the fundamental concept of the non-parametric method which is the Kaplan-Meier and Log-rank test and the Parametric Proportional Hazard models which are Exponential, Weibull and the Gompertz proportional model. The paper applied survival methods to breast cancer patients data from the Korle Bu teaching and Effia Nkwanta Hospital. The main objective is to become familiar with the risk factors associated to early death of breast cancer patients. The proportionality...

Delinquency And Default Risk Modelling of Microfinance in Ghana

ABSTRACT The objective of this research was to identify the risk factors that influence loan default of customers in the microfinance sector and to develop model that links these factors to credit default for any customer in the sector. Data from a microfinance institution based in Accra was used. A binomial logistic regression analysis was fitted to a data of 472 customers who were granted credit from January 2011 to December 2012. Based on the Wald criterion, it was realized that among the...

Proportional Hazard Survival Models For Assessing Association Between Risk Factors And Early Death Of Hiv/Tb Co-Infected Patients

ABSTRACT Survival analysis has proven to be a major breakthrough in the analysis of time to event. The methodologies surrounding the concept of Survival Analysis seems laudable to most researchers especially in the medical, engineering, agricultural and actuarial field. Kaplan-Meier method which is applicable for estimating the survival function, log-rank test used for comparing the equality of two or more survival distributions, and the Cox proportional hazard model for inspecting the covari...

Determinants of Low Birthweight in Ghana

ABSTRACT The study objectives are to determine the key factors that may be accounting for birthweight of infants, estimate its distribution, prevalence and proposes a statistical model that can be useful in epidemiological studies in Ghana. Both estimation (Linear) and classification (Logistic) analysis was conducted using data from GDHS. Covariates found to statistically associated with newborn’s weight are gender, size of child at birth, region, wealth index, birth order, total number ch...

Application Of Time Series In Predicting The Water Levels Of The Akosombo Dam

ABSTRACT Energy from hydro-electricity is the cheapest form of power generation in this country. The Volta River Authority can however generate power optimally if water levels within the dam is between 240ft and 280ft. This is not always the case, since the only source of water for the dam is rainfall, which is also random and dependent on weather conditions. Knowledge of the water level within any month of the year will therefore be very useful in the production, distribution and management ...


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