adedayo adedotun | Convenant University (original) (raw)
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Papers by adedayo adedotun
IOP conference series. Earth and environmental science, May 1, 2024
Advances and Applications in Statistics, Apr 5, 2024
Frontiers in sustainable cities, Apr 3, 2024
There is a knowledge gap regarding the specific attributes (location-specific, environmental, and... more There is a knowledge gap regarding the specific attributes (location-specific, environmental, and neighborhood) that impact land value, the relationship among these attributes, and the degree of impact on the land values in residential estates in Uyo, Nigeria. The three factors all combine to create a unique picture of a place, impacting its desirability and ultimately, its land value. This study explores the relationship between various land value attributes within specific residential estates (Ewet Housing Estate, Shelter Afrique Estate, and Akwa-Ima Estate) in Uyo. A questionnaire was designed and used to solicit data from the respondents living in the three estates with the aid of the purposive sampling technique. The findings revealed the following: Closeness to school is the location-specific attribute that contributes the most to land value, and closeness to recreational centers contributes the least. The presence of security and police stations had the most significant contribution to land value, and the presence of noise in the neighborhood had the least significant contribution. Peace, quiet, and beauty had the most significant contribution to land value, and the presence of lakes and water bodies in the environment contributed the least to land value. The factor analysis yielded two major factors for location-specific attributes: 'transport' and 'place'. The factor analysis grouped the neighborhood attributes into two factors: 'easily controlled' and 'not easily controlled'. All three attributes of land values are positively correlated with one another. Implications for research and recommendations were made.
International journal of transport development and integration, Mar 31, 2024
Cogent business & management, Feb 24, 2024
Journal of the Nigerian Society of Physical Sciences, Mar 6, 2024
The performance of two classification techniques, logistic regression and Support Vector Machines... more The performance of two classification techniques, logistic regression and Support Vector Machines (SVMs), in assessing vaccination data is investigated in this study. The model was trained based on leave-out-one cross validation to obtain an accurate result. Simulated with ten thousand replications, a life data set was used to establish a better model. The findings from the simulation revealed that the logistic regression model slightly outperformed the SVM while the life data shows that the tuned SVM outperformed both the logistic and the SVM. This demonstrates the practical utility of advanced approaches such as SVMs in difficult categorization scenarios such as vaccination prediction. The study emphasizes the superiority of the customized SVM model in this setting, as well as the potential of machine learning approaches to increase comprehension of complicated healthcare scenarios and guide data-driven decision-making for influencing vaccination plans and public health. The study recommends the use of logistic regression if the data point is high.
JP journal of biostatistics, Feb 12, 2024
International Journal of Sustainable Development and Planning, Dec 28, 2023
Revue d'intelligence artificielle, Feb 29, 2024
Advances and Applications in Statistics
The research gap is clear enough, but the author(s) should find the theoretical shortcomings of p... more The research gap is clear enough, but the author(s) should find the theoretical shortcomings of previous study and use it to enrich their literature. At the conclusion, the limitation and future research directions should be mentioned. Data access and methodology restrictions should be discussed.
JP Journal of Biostatistics
Mathematical Modelling of Engineering Problems
Generalized Linear Models (GLMs) are widely recognized for their efficacy in fitting count data, ... more 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 Least Absolute Shrinkage and Selection Operator (LASSO), for fitting count data. These models are compared to frequentist and Bayesian models commonly used for count data fitting, such as the Dirichlet prior mixture of generalized linear mixed models and the discrete Weibull. The findings reveal Ridge Regression's superiority over all other models based on the Akaike Information Criterion (AIC). However, its performance diminishes when evaluated using the Bayesian Information Criterion (BIC), even though it still outperforms LASSO. The study thereby suggests the use of regularized regression models for fitting zero-inflated count data, as demonstrated with simulated data. Further, the appropriateness of regularized zero for zero-truncated count is exemplified using life data.
Mathematical Modelling of Engineering Problems
Advances and Applications in Statistics
English football leagues and local competitions are highly followed worldwide. Clubs compete for ... more 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. I. Okagbue, A. C. Constantinou, T. P. Iyiola and A. F. Adedotun 44 discussed. Analysis is often restricted to club by club performances. This article presents the data analysis of regional distribution of football clubs in the English top flight or top division or top level from inception to the premier league era. Generally, there is a significant uneven distribution of club across the regions. The North West and West Midlands regions have been represented by clubs since the inception to date. Data analysis revealed that the early days of the English top level league were dominated by clubs from North West and London, whereas the regions of the East of England, South West and Wales are least represented in the top league. Also, there seems to be a 'Southern shift' in recent years with increased representation of clubs from Southern England. However, some balance is now maintained given that all the ten regions have been represented by at least one club over the last three seasons; 2016/17 to 2018/19.
Journal of the Nigerian Society of Physical Sciences, 2020
This study modelled and estimated climatic data using the state-space model. The study was specif... more 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 climatic dataset using the state-space model and to assess the forecasting power of the state-space models. The data used for the work includes temperature and rainfall for periods January 1991 to December 2017. The data are tested for normality. Shapiro-Wilk, Anderson-Darling and Kolmogorov-Smirnov test of normality for the climatic data all showed that the variables are not normally distributed. The work spans the use of breaking trend regression model to fit climatic data to estimate the slopes which show much increase in climatic data has been recorded from the initial time data collection until the present. Investigations and diagnostic are...
Ingénierie des systèmes d information
Advances and Applications in Statistics, 2023
English football leagues and local competitions are highly followed worldwide. Clubs compete for... more 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 discussed. Analysis is often restricted to club by club performances.
This article presents the data analysis of regional distribution of
football clubs in the English top flight or top division or top level from
inception to the premier league era. Generally, there is a significant
uneven distribution of club across the regions. The North West and
West Midlands regions have been represented by clubs since the
inception to date. Data analysis revealed that the early days of the
English top level league were dominated by clubs from North West
and London, whereas the regions of the East of England, South West
and Wales are least represented in the top league. Also, there seems to
be a ‘Southern shift’ in recent years with increased representation
of clubs from Southern England. However, some balance is now
maintained given that all the ten regions have been represented by at
least one club over the last three seasons
International Journal of Design & Nature and Ecodynamics, Feb 28, 2023
IOP conference series. Earth and environmental science, May 1, 2024
Advances and Applications in Statistics, Apr 5, 2024
Frontiers in sustainable cities, Apr 3, 2024
There is a knowledge gap regarding the specific attributes (location-specific, environmental, and... more There is a knowledge gap regarding the specific attributes (location-specific, environmental, and neighborhood) that impact land value, the relationship among these attributes, and the degree of impact on the land values in residential estates in Uyo, Nigeria. The three factors all combine to create a unique picture of a place, impacting its desirability and ultimately, its land value. This study explores the relationship between various land value attributes within specific residential estates (Ewet Housing Estate, Shelter Afrique Estate, and Akwa-Ima Estate) in Uyo. A questionnaire was designed and used to solicit data from the respondents living in the three estates with the aid of the purposive sampling technique. The findings revealed the following: Closeness to school is the location-specific attribute that contributes the most to land value, and closeness to recreational centers contributes the least. The presence of security and police stations had the most significant contribution to land value, and the presence of noise in the neighborhood had the least significant contribution. Peace, quiet, and beauty had the most significant contribution to land value, and the presence of lakes and water bodies in the environment contributed the least to land value. The factor analysis yielded two major factors for location-specific attributes: 'transport' and 'place'. The factor analysis grouped the neighborhood attributes into two factors: 'easily controlled' and 'not easily controlled'. All three attributes of land values are positively correlated with one another. Implications for research and recommendations were made.
International journal of transport development and integration, Mar 31, 2024
Cogent business & management, Feb 24, 2024
Journal of the Nigerian Society of Physical Sciences, Mar 6, 2024
The performance of two classification techniques, logistic regression and Support Vector Machines... more The performance of two classification techniques, logistic regression and Support Vector Machines (SVMs), in assessing vaccination data is investigated in this study. The model was trained based on leave-out-one cross validation to obtain an accurate result. Simulated with ten thousand replications, a life data set was used to establish a better model. The findings from the simulation revealed that the logistic regression model slightly outperformed the SVM while the life data shows that the tuned SVM outperformed both the logistic and the SVM. This demonstrates the practical utility of advanced approaches such as SVMs in difficult categorization scenarios such as vaccination prediction. The study emphasizes the superiority of the customized SVM model in this setting, as well as the potential of machine learning approaches to increase comprehension of complicated healthcare scenarios and guide data-driven decision-making for influencing vaccination plans and public health. The study recommends the use of logistic regression if the data point is high.
JP journal of biostatistics, Feb 12, 2024
International Journal of Sustainable Development and Planning, Dec 28, 2023
Revue d'intelligence artificielle, Feb 29, 2024
Advances and Applications in Statistics
The research gap is clear enough, but the author(s) should find the theoretical shortcomings of p... more The research gap is clear enough, but the author(s) should find the theoretical shortcomings of previous study and use it to enrich their literature. At the conclusion, the limitation and future research directions should be mentioned. Data access and methodology restrictions should be discussed.
JP Journal of Biostatistics
Mathematical Modelling of Engineering Problems
Generalized Linear Models (GLMs) are widely recognized for their efficacy in fitting count data, ... more 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 Least Absolute Shrinkage and Selection Operator (LASSO), for fitting count data. These models are compared to frequentist and Bayesian models commonly used for count data fitting, such as the Dirichlet prior mixture of generalized linear mixed models and the discrete Weibull. The findings reveal Ridge Regression's superiority over all other models based on the Akaike Information Criterion (AIC). However, its performance diminishes when evaluated using the Bayesian Information Criterion (BIC), even though it still outperforms LASSO. The study thereby suggests the use of regularized regression models for fitting zero-inflated count data, as demonstrated with simulated data. Further, the appropriateness of regularized zero for zero-truncated count is exemplified using life data.
Mathematical Modelling of Engineering Problems
Advances and Applications in Statistics
English football leagues and local competitions are highly followed worldwide. Clubs compete for ... more 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. I. Okagbue, A. C. Constantinou, T. P. Iyiola and A. F. Adedotun 44 discussed. Analysis is often restricted to club by club performances. This article presents the data analysis of regional distribution of football clubs in the English top flight or top division or top level from inception to the premier league era. Generally, there is a significant uneven distribution of club across the regions. The North West and West Midlands regions have been represented by clubs since the inception to date. Data analysis revealed that the early days of the English top level league were dominated by clubs from North West and London, whereas the regions of the East of England, South West and Wales are least represented in the top league. Also, there seems to be a 'Southern shift' in recent years with increased representation of clubs from Southern England. However, some balance is now maintained given that all the ten regions have been represented by at least one club over the last three seasons; 2016/17 to 2018/19.
Journal of the Nigerian Society of Physical Sciences, 2020
This study modelled and estimated climatic data using the state-space model. The study was specif... more 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 climatic dataset using the state-space model and to assess the forecasting power of the state-space models. The data used for the work includes temperature and rainfall for periods January 1991 to December 2017. The data are tested for normality. Shapiro-Wilk, Anderson-Darling and Kolmogorov-Smirnov test of normality for the climatic data all showed that the variables are not normally distributed. The work spans the use of breaking trend regression model to fit climatic data to estimate the slopes which show much increase in climatic data has been recorded from the initial time data collection until the present. Investigations and diagnostic are...
Ingénierie des systèmes d information
Advances and Applications in Statistics, 2023
English football leagues and local competitions are highly followed worldwide. Clubs compete for... more 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 discussed. Analysis is often restricted to club by club performances.
This article presents the data analysis of regional distribution of
football clubs in the English top flight or top division or top level from
inception to the premier league era. Generally, there is a significant
uneven distribution of club across the regions. The North West and
West Midlands regions have been represented by clubs since the
inception to date. Data analysis revealed that the early days of the
English top level league were dominated by clubs from North West
and London, whereas the regions of the East of England, South West
and Wales are least represented in the top league. Also, there seems to
be a ‘Southern shift’ in recent years with increased representation
of clubs from Southern England. However, some balance is now
maintained given that all the ten regions have been represented by at
least one club over the last three seasons
International Journal of Design & Nature and Ecodynamics, Feb 28, 2023