Modeling Tuberculosis (TB) Using Higher Order Markov Model

This paper focused on the higher-Order Markov Model whose number of states and parameters are linear with respect to the order of the model and as well as classifying it. Model for Efficient estimation methods of the parameters was developed and the model was applied to solve the application of DOTS in the treatment of tuberculosis health problem. Numerical examples with applications are given to illustrate the power of our proposed model. It was discovered that the second order Markov model was best fit base on the values of the AIC and BIC result obtained.

Multivariate Generalized Poisson Distribution for Interference on Selected Non-Communicable Diseases in Lagos State, Nigeria

Multivariate Generalized Poisson Distribution (MGPD) models are applied to make inferences regarding non-communicable diseases, diabetes, hypertension, stroke and ulcer in Lagos State, Nigeria. The generalized Poisson distribution is employed due to its usefulness in modeling count data in the presence of either over- or under- dispersion. Results show that the correlation between ulcer and stroke is not significant. Other pairwise comparisons of diseases are significant, thus implying that a patient who suffers from diabetes or stroke has a high propensity to also be hypertensive

A Statistical Analysis Of The Performance Distance Learning Students And The Full-Time Students At The University Of Lagos

The study compares the performance of distance learning students with full-time students in a traditional face-to-face learning environment. This study is one aspect of a larger research project designed to gain insight into factors that may influence the performance of distance learning students. The data used in the study represent the graduating GPA (Grade Point Average) and CGPA (Cumulative Grade Point Average). The result showed that students of Distance Learning Institute (DLI) performed better in business administration than the mainstream students, while the mainstream accounting students perform better than the DLI accounting students. Results indicated that there was a statistically significant difference in final grades of these groups of students

Modeling Tuberculosis (TB) Using Higher Order Markov Model

This paper focused on the higher-Order Markov Model whose number of states and parameters are linear with respect to the order of the model and as well as classifying it. Model for Efficient estimation methods of the parameters was developed and the model was applied to solve the application of DOTS in the treatment of tuberculosis health problem. Numerical examples with applications are given to illustrate the power of our proposed model. It was discovered that the second order Markov model was best fit base on the values of the AIC and BIC result obtained.Â

The Comparative Study of Gompertz Exponential Distribution and other three Parameter Distributions of Exponential Class

Statistical distributions are very useful in describing and predicting real world phenomena. In this paper, a new continuous model called Gompertz exponential distribution is defined and studied. Its resulting densities and statistical properties were carefully derived and the method of maximum likelihood was proposed in estimating the model parameters. A simulation on R was done to assess the performance of the parameters of the new model. Gompertz exponential distribution was illustrated with an application to real-life data. The result shows that Gompertz exponential distribution performs better than other three-parameter distributions such as Kumaraswamy–exponential distribution, Generalized Gompertz distribution, and Three-Parameter Lindley distribution

The Comparative Study of Gompertz Exponential Distribution and other three Parameter Distributions of Exponential Class

Statistical distributions are very useful in describing and predicting real world phenomena. In this paper, a new continuous model called Gompertz exponential distribution is defined and studied. Its resulting densities and statistical properties were carefully derived and the method of maximum likelihood was proposed in estimating the model parameters. A simulation on R was done to assess the performance of the parameters of the new model. Gompertz exponential distribution was illustrated with an application to real-life data. The result shows that Gompertz exponential distribution performs better than other three-parameter distributions such as Kumaraswamy–exponential distribution, Generalized Gompertz distribution, and Three-Parameter Lindley distribution