Adedotun Adedayo

Olabisi Onabanjo University · Department of Mathematical Sciences

Workers require good working conditions to enhance their job performance, in this study, we conducted a survey of European working conditions in 2022 and compared the results with that of 2016 using an unsupervised learning approach for exploratory data analysis and determining the relationships. Hence, the Principal Component Analysis (PCA) was ad...

The relationship between a variable (the response variable) and the scores of several other variables (the independent variables) may be described using multiple linear regression analysis. This study compares the L2 (ridge) shrinkage method and least squares shrinkage method when multicollinearity is present in a dataset across various sample size...

Background: HIV/AIDS is endemic in Nigeria since the first case was reported in 1986. Several risk factors contribute to its prevalence, and the successive government has devised different programs to halt the spread. Awareness is one of those programs that helps to promote voluntary testing and prevention of HIV. The aim of this paper is to assess...

In this study, the performance of Dirichlet Process Mixture of Generalized Linear Mixed Models (DPMGLMMs) was examined against some competing models for fitting zero-truncated count data. The Bayesian models such as Monte Carlo Markov Chain GLMMs, Bayesian Discrete Weibull and the frequentists models such as Zero truncated Poisson, Zero truncated B...

In this work, a multiple dependent state sampling plan, which is an inspection procedure that determines whether an attribute is conforming or non-conforming to a specific requirement, in which the decision criterion for each lot dictates whether to accept the lot; reject the lot; or conditionally accept or reject the lot based on the disposition o...

Generalized Linear Models (GLMs) are widely recognized for their efficacy in fitting count data, superior to the Ordinary Least Squares (OLS) approach. The incapability of OLS to suitably handle count data can be attributed to its tendency to overfit. This study proposes the utilization of regularized models, specifically Ridge Regression and the L...

The probability distribution is an important aspect of probability theory because of its vast relevance in almost all human disciplines. Its applicability in finance, medicine, agriculture, actuarial science, demography, and econometrics, to mention but a few, is highly commendable. The use of probability distributions to model real-life data is an...

English football leagues and local competitions are highly followed worldwide. Clubs compete for titles and honors on a yearly basis. English clubs are located in 10 regions of England and Wales. The detailed representation of the clubs according to the regions is rarely H.

How to cite this article: Tomilayo P. Iyiola, Hilary I. Okagbue, Adedayo F. Adedotun and Toluwalase J. Akingbade, The effects of decomposition of the goals scored in classifying the outcomes of five English Premier League seasons using machine learning models, Advances and Applications in Statistics 87(1) (2023), 13-27. http://dx. Abstract The Engl...

The Covid-19 pandemic has crippled the economic activities of so many nations across the globe since its outbreak in 2019. This study is focused on the resultant effect of the covid-19 pandemic in terms of the standard of living, and perception of the economic and security situation of Nigerians. This study used a non-parametric approach involving...

There have been concerns globally as to whether taking COVID-19 vaccination is harmful or not. In this study, we conducted an online survey to measure the knowledge and attitude of people, first about COVID-19, and second about COVID-19 vaccination—various analyses such as descriptive statistics, logistic regression, and support vector regression w...

The current state of all Nigerian roads is in poor condition, and reports of accidents have been recorded across the federation. The larger mission of the sustainable development goal is to promote sustainable cities and communities. This research study aims to examine factors responsible for road accidents in Nigeria through the quantitative tool...

In this paper, some closed form expressions for selected parameters for the probability density function (PDF) of the beta distribution are obtained. The closed form expressions are recovered from the solution of the ordinary differential equations (ODEs), obtained from the differentiation of the PDF of the distribution. The paper shows that the sh...

The lethal coronavirus illness (COVID-19) has evoked worldwide discussion. This contagious, sometimes fatal illness, is caused by the severe acute respiratory syndrome coronavirus 2. So far, COVID-19 has quickly spread to other countries, sickening millions across the globe. To predict the future occurrences of the disease, it is important to devel...

In the last five decades, Box Jenkins methodology has been in existence to model univariate time series data but fails or has limitations on modeling volatility. Most financial time series data do exhibit heavy tail and thick distribution, to this effect various parametric and semi-parametric non-linear time series models have been proposed two or...

The goal of this study is to look at the survival time distribution for diabetes patients at the National Hospital Abuja, taking into account a variety of variables. The Kaplan Meier-estimator indicated that there is no statistically significant difference in the distribution of survival time by sex, despite the fact that married patients were seen...

The occurrence of COVID-19 has given rise to dreadful medical difficulties due to its hyper-endemic effects on the human population. This made it fundamental to model and forecast COVID-19 pervasiveness and mortality to control the spread viably.The COVID-19 data used was from February, 28, 2020 to March 1, 2021. ARIMA(1,2,0) was selected for model...

The use of hard drugs (Alcohol, cocaine and Nicotine) has remained the censorious issue globally and in Nigeria. The use of hard drugs and tobacco smoking is common in the stage of adolescence and youth life, which is a deterrent to education and career advancement. Hence, this study looks into socio-demographic factors that influence the use of ha...

Modeling the onset of a pandemic is important for forming inferences and putting measures in place. In this study, we used the Vector autoregressive model to model and forecast the number of confirmed covid-19 cases and deaths in Nigeria, taking into account the relationship that exists between both multivariate variables. Before using the Vector A...

The most often used distribution in statistical modeling follows Gaussian distribution. But many real-life time series data do not follow normal distribution and assumptions; therefore, inference from such a model could be misleading. Thus, a reparameterized non-Gaussian Autoregressive (NGAR) model that has the capabilities of handling non-Gaussian...

Modeling the onset of a pandemic is important for forming inferences and putting measures in place. In this study, we used the Vector autoregressive model to model and forecast the number of confirmed covid-19 cases and deaths in Nigeria, taking into account the relationship that exists between both multivariate variables. Before using the Vector A...

With the outbreak of COVID-19, a lot of studies have been carried out in various science disciplines to either reduce the spread or control the increasing trend of the disease. Modeling the outbreak of a pandemic is pertinent for inference making and implementation of policies. In this study, we adopted the Vector autoregressive model which takes i...

The goal of this research is to compare multiple linear regression coefficient estimations with multicollinearity. In order to quantify the effectiveness of estimations by the mean of average mean square error, the ordinary least squares technique (OLS), modified ridge regression method (MRR), and generalized Liu-Kejian method (LKM) are compared (A...

The interest of this paper is to examine the controllability and observability of a control system in the configuration state-space of an uncertain optimal control system. The control system is designed based on the realization of capital asset values where a special case of asset management is modelled and optimized. Thus some necessary and suffic...

This study modelled and estimated climatic data using the state-space model. The study was specifically to identify the pattern of the trend movement i.e., increase or decrease in the occurrence of the climatic change; to use of Univariate Kalman Filter for the computation of the likelihood function for climatic projections; to modelling the climat...

The essential factor determining decision-making in private investors and public corporations is controlled asset management. In a developed asset allocation and in a time of debt crisis, an important issue on which investors base their decisions is when and how to more or fewer investments such that expected net values of assets are maximized with...

Most frequently used models for modeling and forecasting periodic climatic time series do not have the capability of handling periodic variability that characterizes it. In this paper, the Fourier Autoregressive model with abilities to analyze periodic variability is implemented. From the results, FAR(1), FAR(2) and FAR(2) models were chosen based...

Evaluating Maximum likelihood estimates in Generalized Linear Mixed Models (GLMMs) has been a serious challenge due to some integral complexities encountered in maximizing its likelihood functions. It is computationally difficult to establish analytical solutions for the integrals. In view of this, approximation techniques would be needed. In this...

The relationship between air pollution and mortality calls for attention in recent time. Diverse analyses have been conducted globally, including important cities in Africa, United States, Europe, and Asia. In this study, a time-series analysis is proposed to analyze influence of environmental pollution on mortality in Nigeria using the Vector Auto...

Fractional Polynomial regression is a form of regression analysis in which the relationship between the independent variable and the dependent variable is modelled as a 1/nth degree polynomial. Thus, this work is used to propose an extension of Fractional Polynomial Regression (FPR) term Lagged Fractional Polynomial Regression (LFPR) which is an al...

One of the most important problems concerning Autoregressive Fractional Integrated Moving Average (AFRIMA) time series model is the estimation of the fractional parameter. This research work was aimed to show efficiency of the different methods used to test and estimate fractional parameter in the fractionally integrated autoregressive moving-avera...