Statistics Research Papers/Topics

Time Series Modelling For Total Number Of Defective Parts Of Printed Circuit Boards In The Manufacturing Industry In Ghana

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...

Statistical Modelling of Performance of Teacher Education at Distance And Regular Modes

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...

On Parameter Estimation For International Market Cocoa Prices Modelling And Forecasting

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 ...

Statistical Assessment Of The Relationship Between Stock Prices And Economic Variables;A Case Study For The Gse

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 ...

A Methodology For Stochastic Monitoring Of Macro-Economic Variables In Ghana

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 ...

Modeling Tuberculosis Transmission Dynamics In The Ashanti Region Of Ghana

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...

Time Series Analysis On Measles Cases In Nigeria

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...

Time Series Analysis Of Number Of Babies At Birth In Federal Capital Territory, Abuja (A Case Study Of University Of Abuja Teaching Hospital (Uath))

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...

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...


121 - 135 Of 173 Results