Thiery Donfack
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Thiery Donfack has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Alexis Nangue
Department of Mathematics, University of Maroua, Higher Teachers’ Training College, Maroua, Cameroon
1 shared publication - David Avava Ndode Yafago1 shared publication
- Didier Alain Njamen Njomen
University of Maroua
1 shared publication - Georges Nguefack-Tsague
University of Yaoundé I
1 shared publication - Joseph Ngatchou-Wandji
Institut Élie Cartan de Lorraine, Université de Lorraine, Vandoeuvre-Lès-Nancy Cedex, 54506 Nancy, France
1 shared publication
Latest Publications
- Open Access
- 1 April 2022
- Published by New York Business Global LLC in European Journal of Pure and Applied Mathematics
- Vol. 15 (2) , 753-773
E-Bayesian Estimation under Loss Functions in Competing Risks
Using gamma prior distribution of which shape hyperparameter has beta distribution and rate parameter has three different distributions over a finite interval, we studied the E-Bayesian estimation of one scale parameter of Gompertz distribution based on progressively type I censored sample from the competing risks model subject to K independent causes. The estimators obtained generalize those issued from the quadratic loss, entropy loss and DeGroot loss functions.
- 1 April 2022
- Published by New York Business Global LLC in European Journal of Pure and Applied Mathematics
- Vol. 15 (2) , 753-773
Open AccessE-Bayesian Estimation under Loss Functions in Competing Risks
Using gamma prior distribution of which shape hyperparameter has beta distribution and rate parameter has three different distributions over a finite interval, we studied the E-Bayesian estimation of one scale parameter of Gompertz distribution based on progressively type I censored sample from the competing risks model subject to K independent causes. The estimators obtained generalize those issued from the quadratic loss, entropy loss and DeGroot loss functions.
- Open Access
- 25 July 2019
- Published by New York Business Global LLC in European Journal of Pure and Applied Mathematics
- Vol. 12 (3) , 944-959
Global Dynamics of an Hepatitis C Virus Mathematical Cellular Model with a Logistic Term
In this paper, the aim is to analyze the global dynamics of Hepatitis C Virus (HCV) cellular mathematical model under therapy with uninfected hepatocytes proliferation. We prove that the solution of the model with positive initial values are global, positive and bounded. In addition, firstly we show that the model is locally asymptotically stable at free virus equilibrium and also at infected equilibrium. Secondly we show that the model is globally asymptotically stable at the free virus equilibrium by using an appropriate lyapunov function.
- 25 July 2019
- Published by New York Business Global LLC in European Journal of Pure and Applied Mathematics
- Vol. 12 (3) , 944-959
Open AccessGlobal Dynamics of an Hepatitis C Virus Mathematical Cellular Model with a Logistic Term
In this paper, the aim is to analyze the global dynamics of Hepatitis C Virus (HCV) cellular mathematical model under therapy with uninfected hepatocytes proliferation. We prove that the solution of the model with positive initial values are global, positive and bounded. In addition, firstly we show that the model is locally asymptotically stable at free virus equilibrium and also at infected equilibrium. Secondly we show that the model is globally asymptotically stable at the free virus equilibrium by using an appropriate lyapunov function.