Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Faiz Ahmed Mohamed Elfaki"'
Publikováno v:
Austrian Journal of Statistics, Vol 49, Iss 3 (2020)
The term survival analysis has been used in a broad sense to describe collection of statistical procedures for data analysis for which the outcome variable of interest is time until an event occurs, the time to failure of an experimental unit might b
Externí odkaz:
https://doaj.org/article/0fda63d9d70e4bc3961136ac020b4ab0
Publikováno v:
Austrian Journal of Statistics, Vol 49, Iss 3 (2020)
In the studies that involve competing risks, somehow, masking issues might arise. That is, the cause of failure for some subjects is only known as a subset of possible causes. In this study, a Bayesian analysis is developed to assess the effect of ri
Externí odkaz:
https://doaj.org/article/007780539d6946229cc12378d8b8c215
Publikováno v:
WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS. 17:172-183
Window dressing in capital market can be defined as the activities of company to increase the stock price. This study was conducted to observe all the activities of window dressing in some companies listed in stock market. The detection of window dre
Autor:
Faiz Ahmed Mohamed Elfaki, Warsono Warsono, Wamiliana Wamiliana, Widiarti Widiarti, Edwin Russel, Mustofa Usman
Publikováno v:
International Journal of Energy Economics and Policy, Vol 10, Iss 3, Pp 348-354 (2020)
Application of Path Analysis for causal modeling has been widely used in many areas of studies, such as in social science, education, biology, medical, sociology, and economics. In this study, path analysis is applied to test a relationship model amo
Publikováno v:
Austrian Journal of Statistics, Vol 49, Iss 3 (2020)
The term survival analysis has been used in a broad sense to describe collection of statistical procedures for data analysis for which the outcome variable of interest is time until an event occurs, the time to failure of an experimental unit might b
Publikováno v:
Austrian Journal of Statistics, Vol 49, Iss 3 (2020)
In the studies that involve competing risks, somehow, masking issues might arise. That is, the cause of failure for some subjects is only known as a subset of possible causes. In this study, a Bayesian analysis is developed to assess the effect of ri
Publikováno v:
Journal of Infection and Public Health, Vol 12, Iss 3, Pp 343-349 (2019)
Journal of Infection and Public Health
Journal of Infection and Public Health
Background: During outbreaks of infectious diseases, transmission of the pathogen can form networks of infected individuals connected either directly or indirectly. Methods: Network centrality metrics were used to characterize hospital-acquired Middl
Autor:
Faiz Ahmed Mohamed Elfaki, Adedayo M. Adegboye, A. A. James, Oyelola A. Adegboye, Ezra Gayawan
Publikováno v:
Zoonoses and public healthREFERENCES. 68(5)
Ebola virus (EBV) disease is globally acknowledged public health emergence, which is endemic in the West and equatorial Africa. To understand the epidemiology especially the dynamic pattern of EBV disease, we analyse the EBV case notification data fo
Autor:
Damon P. Eisen, Diana Patricia Rojas, Anton Pak, Adeshina I. Adekunle, Denis H. Y. Leung, Oyelola A. Adegboye, Faiz Ahmed Mohamed Elfaki, Ezra Gayawan, Emma S. McBryde
Publikováno v:
Travel Medicine and Infectious Disease
Background The outbreak of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) that was first detected in the city of Wuhan, China has now spread to every inhabitable continent, but now the attention has shifted from China to other epicentre
Autor:
Emma S. McBryde, Denis H. Y. Leung, Adeshina I. Adekunle, Ezra Gayawan, Damon P. Eisen, Anton Pak, Oyelola A. Adegboye, Faiz Ahmed Mohamed Elfaki, Diana Patricia Rojas
The outbreak of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) that originated in the city of Wuhan, China has now spread to every inhabitable continent, but now theattention has shifted from China to other epicenters, especially Italy.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13a2b9c93384e855914c28eb50a46733