Papers by Adejumo Adebowale Olusola
DergiPark (Istanbul University), Dec 19, 2016
In this study, a New Lindley Exponential distribution was studied using the Lindley generalized f... more In this study, a New Lindley Exponential distribution was studied using the Lindley generalized family of distributions. Expressions for its densities, survival function, hazard function, quantile function and distribution of order statistics were derived. Its sub-models were identified and the New Lindley Exponential distribution was applied to two real life datasets to assess its flexibility over the Lindley distribution and the Exponential distribution. The results indicate that the New Lindley Exponential distribution performed better than both the Lindley distribution and the Exponential distribution based on their log-likelihood and Akaike Information Criteria values.
Journal de la Recherche Scientifique de l’Université de Lomé, 2017
We propose a two parameter Inverted Generalized Exponential (IGE) and a three parameter Generaliz... more We propose a two parameter Inverted Generalized Exponential (IGE) and a three parameter Generalized Inverted Generalized Exponential (GIGE) probability models as generalizations of the one-parameter Exponential distribution and some other distributions in the literature. We explore the statistical properties of the GIGE distribution and its parameters were estimated for both censored and uncensored cases using the method of maximum likelihood estimation (MLE). An application to a real data set is also provided to assess the flexibility of the GIGE distribution over some of its sub-models
This paper introduces and explores a new compound distribution named the Gompertz Burr Type XII (... more This paper introduces and explores a new compound distribution named the Gompertz Burr Type XII (GOBXII) distribution. Its statistical properties were established where the unknown parameters of the new model were estimated by using the method of MLE (maximum likelihood estimation). The simulation method has been used as a one of manners of operation research for evaluating the performance of the estimated distribution parameters. Its superiority over other compound distributions like the Gompertz Weibull distribution, Gompertz Lomax distribution and Beta Burr Type X was illustrated with the aid of real life data sets.Simulation studies were also conducted to assess the performance and behavior of the parameters which consider unknown.
The paper examined the rainfall distribution of Enugu state in Nigeria. Box-Jenkins methodology w... more The paper examined the rainfall distribution of Enugu state in Nigeria. Box-Jenkins methodology was used to build ARIMA model to analyze data and forecast for the period of 15 years, from January, 2002 to December, 2016 and to predict for the future. We observed that the average annual rainfall of Enugu state ranges from 124mm to 179mm. The irregularity in annual rainfall of Enugu State one and half decades ago is a bit large, indicating that climate stability is high in the state. Different time series models were diagnostically checked, and tested for Enugu state and at last an SARIMA (0, 0, 0) (1, 0, 1)12 model is chosen as the proposed best model. The proposed model was used to forecast two years’ monthly rainfall value for the state. The results indicated that relatively there is a tendency of increasing in trend of future rainfall values in the state.
Journal of Informatics and Mathematical Sciences, 2017
Modeling solar radiation is a necessity for the utilization of the benefits it brings to mankind.... more Modeling solar radiation is a necessity for the utilization of the benefits it brings to mankind. Time series analysis has proved to stand out amidst other statistical tools when estimating and forecasting solar radiations and their variations. In this paper, a mixture of the Autoregressive Moving Average (ARMA) and Generalized Autoregressive Conditional Heteroscedasticity (GARCH) time series models were implemented on the solar radiation series for Port Harcourt meteorological station, located at the south-southern part of Nigeria, to capture and model the conditional mean and volatility that may exist in the series. After subjecting the models to some evaluation metrics for model adequacy, the results gave appropriate ARMA model for the station, indicated the presence of volatility in the radiation series and these volatilities were modeled using the combination of ARMA-GARCH models, which produced a better estimate than the ARMA models alone.
This research demonstrates that the Transmuted Inverse Exponential distribution is more robust th... more This research demonstrates that the Transmuted Inverse Exponential distribution is more robust than the Inverse Exponential distribution. The comparison was made using two real life data sets and the performance of the competing models were rated based on their loglikelihood value and Akaike Information Criteria (AIC) value. The analysis was performed using R-software. In addition, some further statistical properties of the Transmuted Inverse Exponential distribution were established
A three parameter probability model which serves as a generalization of the Exponential distribut... more A three parameter probability model which serves as a generalization of the Exponential distribution was studied. The new model is named Exponentiated Generalized Exponential (EGE) distribution. The shape of the model could be increasing, decreasing or unimodal (depending on the value of the parameters). Explicit expressions are provided for the moments and generating functions, reliability function and failure rate. The method of maximum likelihood estimation (MLE) was proposed for the estimation of the parameters. An application to two real data sets was provided in order to assess the flexibility of the proposed model over some models in the literature.
This research explored the Exponentiated Generalized Inverse Exponential (EGIE) distribution to i... more This research explored the Exponentiated Generalized Inverse Exponential (EGIE) distribution to include more statistical properties and in particular, applications to real life data as compared with some other generalized models.
In this paper, the Inverse Exponential distribution was extended using the weibull generalized fa... more In this paper, the Inverse Exponential distribution was extended using the weibull generalized family of distributions. The probability density function (pdf) and cumulative density function (cdf) of the resulting model were defined and some of its statistical properties were studied. The method of maximum likelihood estimation was proposed in estimating the model parameters. The model was applied to a real life data set in order to assess its flexibility over its parent distribution.
In this research, the Burr X-Exponential distribution was defined and explored using the Burr X f... more In this research, the Burr X-Exponential distribution was defined and explored using the Burr X family of distributions. Its basic statistical properties were identified and the method of maximum likelihood was proposed in estimating the model parameters. The model was applied to three different real data sets to assess its flexibility over its baseline distribution
In any family settings, racing children is a big decision that requires serious self-reflecting a... more In any family settings, racing children is a big decision that requires serious self-reflecting and communication between couples. In African settings, there is usually a rift in the agreement of the number and the gender of children to be borne by couples; while the man prefers a male child, the wife may prefer a female child instead. The number of children by the couple also determine the kinds of education those children will eventually have later. To this effect, in this research work, we want to study the Man’s proposed and ac-tual number of children; the degree of association in the man’s decision using Quasi symmetry and Homogeneous Agreement model; how well some factors (Age, Religion, Family status, Occupation, Level of education and Ethnic group) influence the number of children; and to know the stopping rule for child bearing by the man. It was observed that 16.2% of the respondents had above the number of children proposed when they stopped bearing children, 21.5% of the...
Journal of Physics: Conference Series, 2021
Hepatitis B is caused by the hepatitis B virus (HBV) and it affects livers. It has been establish... more Hepatitis B is caused by the hepatitis B virus (HBV) and it affects livers. It has been established that the disease is a serious medical condition caused by an overpowering immune response to infection. To this effect, there is a need for cross examination of records of patients on this disease to ascertain the factors that could be responsible for the survival or dying from this disease. Descriptive analysis of the data showed that sexually active age bracket (31 – 50) are greatly affected by the disease while female accounted for majority of those that are tested positive to the disease. Chi squared statistic was used to test for independence between age and gender of those who tested positive to disease between 2006 and 2015 in Lagos state, Nigeria. It was discovered that, both variables of age and gender are not independent which means there is association between the Age and Gender of HBV patients.
Open Access Macedonian Journal of Medical Sciences, 2019
BACKGROUND: The effect of age and gender on the transmission of any infectious disease can be of ... more BACKGROUND: The effect of age and gender on the transmission of any infectious disease can be of great important because the age at which the host contact the disease may be a determinant on the rate at which the disease will spread. AIM: The purpose of this research is to model the significant effect of age and gender on the spread of hepatitis B virus using data collected from Lagos State, Nigeria. MATERIAL AND METHODS: The data that was used for this research is a ten years data covering the period of 2006 to 2015, which was collected from Nigeria Institute of Medical Research (NIMR). A log-linear modelling approach was employed using R programming language software. Akaike Information Criterion (AIC) method of model selection was used in selecting the best model. RESULTS: It was discovered from the analysis that both factors (age and gender) have a significant effect on the spread of hepatitis B infection. This means that the age at which an individual is tested positive to hepa...
Data in brief, 2018
In this data article, laboratory experimental investigation results carried out at National Centr... more In this data article, laboratory experimental investigation results carried out at National Centre for Agricultural Mechanization (NCAM) on moisture content, machine speed, die diameter of the rig, and the outputs (hardness, durability, bulk density, and unit density of the pellets) at different levels of cassava pellets were observed. Analysis of variance using randomized complete block design with factorial was used to perform analysis for each of the outputs: hardness, durability, bulk density, and unit density of the pellets. A clear description on each of these outputs was considered separately using tables and figures. It was observed that for all the output with the exception of unit density, their main factor effects as well as two and three ways interactions is significant at 5% level. This means that the hardness, bulk density and durability of cassava pellets respectively depend on the moisture content of the cassava dough, the machine speed, the die diameter of the extru...
Data in brief, 2017
In this data article, laboratory experimental investigation results on drying kinetic properties:... more In this data article, laboratory experimental investigation results on drying kinetic properties: the drying temperature (T), drying air velocity (V) and dewatering time (Te), each of the factors has five levels, and the experiment was replicated three times and the output: drying rate and drying time obtained, were observed. The experiment was conducted at National Centre for Agricultural Mechanization (NCAM) for a period of eight months, in 2014. Analysis of variance was carried out using randomized complete block design with factorial experiment on each of the outputs: drying rate and drying times of the industrial cassava flour. A clear picture on each of these outputs was provided separately using tables and figures. It was observed that all the main factors as well as two and three ways interactions are significant at 5% level for both drying time and rate. This also implies that the rate of drying grated unfermented cassava mash, to produce industrial cassava flour, depend on...
Modelling and Simulation in Engineering, 2017
Developing new compound distributions which are more flexible than the existing distributions hav... more Developing new compound distributions which are more flexible than the existing distributions have become the new trend in distribution theory. In this present study, the Lomax distribution was extended using the Gompertz family of distribution, its resulting densities and statistical properties were carefully derived, and the method of maximum likelihood estimation was proposed in estimating the model parameters. A simulation study to assess the performance of the parameters of Gompertz Lomax distribution was provided and an application to real life data was provided to assess the potentials of the newly derived distribution. Excerpt from the analysis indicates that the Gompertz Lomax distribution performed better than the Beta Lomax distribution, Weibull Lomax distribution, and Kumaraswamy Lomax distribution.
Asian Journal of Scientific Research, 2017
Data in Brief, 2017
Breast cancer is the type of cancer that develops from breast tissue; it is mostly common in wome... more Breast cancer is the type of cancer that develops from breast tissue; it is mostly common in women and it is one of the most studied diseases, largely because of its high mortality (second to lung cancer). However, it occurs in males also. This article presents a statistical study of the distribution of age, gender, length of stay, mode of diagnosis, status (dead or alive) after treatment and the location of breast cancer among 300 patients admitted in the University of Ilorin teaching hospital, Ilorin, Nigeria. The study covers a period of five (5) years; from 2011 to 2016 and logistic regression was used to perform the basic analysis in this study. It was discovered that the age of patients and the location of the breast cancer (right or left) contributes significantly to the survival of the patients. However, early detection and treatment of the disease is highly encouraged. This study also recommends that awareness should be taken to the grassroots and males should not be excluded from this discussion.
Data in Brief, 2017
In this paper, readings of solar radiation received at three meteorological sites in Nigeria were... more In this paper, readings of solar radiation received at three meteorological sites in Nigeria were analysed. Analysis of Variance (ANOVA) statistical test was carried out on the data set to observe the significant differences on radiations for each quarter of the specified years. The data were obtained in raw form from Nigerian Meteorological Agency (NIMET), Oshodi, Lagos. In order to get a clear description and visualization of the fluctuations of the radiation data, each year were considered independently, where it was discovered that for the 3rd quarter of each year, there is a great fall in the intensity of the solar radiation to as low as 73.27 (W/m 2), 101.66 (W/m 2), 158.51 (W/m 2) for Ibadan, Port-Harcourt and Sokoto respectively. A detailed data description is available for the averages across months for each quarter. The data can provide insights on the health implications of exposure to solar radiation and the effect of solar radiation on climate change, food production, rainfall and flood patterns.
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Papers by Adejumo Adebowale Olusola