Statistics Research Papers/Topics

Application Of Numerical Integration To Stochastic Estimation Of The Gini Coefficient

ABSTRACT Over the years, measuring inequality based on the distribution of income has been a major concern to economist. Inequality has had a broader concept than poverty in that it is defined over the entire population not just for the portion of the population below a certain poverty line. The Gini coefficient satisfy many desirable properties of a good measure of inequality such as mean independence, population size independence, symmetry, and Pigou-Dalton Transfer sensitivity. The empiric...

Survival Analysis Of Patients’ Length Of Hospital Stay: A Case Study At The Legon Hospital, University Of Ghana, Accra

ABSTRACT Patient‟s duration of stay at the hospital is one useful indicator many employ to assess the performance and efficiency of healthcare provided by hospitals and healthcare units. Also, patients‟ LOS and inpatient mortality are two interconnected health issues with complex outcomes, and studying the relationship between the two is not an easy task. This study therefore employed non-parametric and semi-parametric statistics in modeling patients‟ survival time to death using secon...

Extreme Value Modelling Of The Water Levels Of The Akosombo Dam

ABSTRACT The Akosombo dam is Ghana‟s main source of energy. Considering the current increase in the demand for electricity in the country, where an increase in demand implies more pressure on the dam, it is therefore very important to investigate the tail behaviour of the water levels of the dam. This is necessary because the level of water in the dam determines the amount of electricity generated. The study investigated this problem using Univariate Extreme Value Theory. Both the Generaliz...

TIME SERIES ANALYSIS OF NUMBER OF BABIES AT BIRTH IN FEDERAL CAPITAL TERRITORY, ABUJA (A Case Study of University of Abuja Teaching Hospital (UATH))

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 ...

COMPARISON OF IMPUTATION METHODS FOR MISSING VALUES IN LONGITUDINAL DATA

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...

A Probability Projection of Male and Female Life Expectancy of Inhabitants Living in Ghana. A Case Study of People Living in the Accra Metropolitan Area

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...

Longitudinal Analysis of Cereals Yields in Ghana

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...

Comparative Study Of The Logistic Regression Analysis And The Discriminant Analysis

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...

A Non-Parametric Analysis of the Effects of Religious Belief on Health Risk Perception – A Case Study of Asikuma-Odoben-Brakwa District.

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...

Predicting Poverty Incidence In Statistically Underdeveloped Countries

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...

From Statistical Mechanics to Large Deviations of Uniformly Random d-Regular Graphs

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...

THE APPLICATION OF GOMPERTZ, EXPONENTIAL, AND POLYNOMIAL FUNCTIONS IN DESCRIBING THE GROWTH OF FOREST TREES.

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...

FACTOR ANALYSIS OF CUSTOMER PREFERENCE FOR MOBILE PHONE NETWORK (A CASE STUDY OF CAPE COAST POLYTECHNIC)

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...

GENERALISED BERNOULLI MODEL FOR CORRELATED BINARY RESPONSES: APPLICATION TO THE NATIONAL INCOME DYNAMICS STUDY (NIDS) DATASETS

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...

A MONTE CARLO COMPARISON OF MINIMUM DESCRIPTION LENGTH MODEL SELECTION CRITERIA FOR ASYMMETRIC PRICE TRANSMISSION MODELS

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...


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