Properties of the MLE for parameters of a Weibull regression model under type I censoring

1990 ◽  
Vol 39 (1) ◽  
pp. 102-105 ◽  
Author(s):  
M.M. Bugaighis
Keyword(s):  
Regression Model ◽  
Type I ◽  
Weibull Regression ◽  
Type I Censoring ◽  
Weibull Regression Model

Sustainability Time and Its Determinant Factors of Small and Medium-scale Enterprises in East Gojjam Zone: Parametric Survival Regression Model

2021 ◽  
pp. 097215092098865
Author(s):  
Amare Wubishet Ayele ◽  
Abebaw Bizuayehu Derseh
Keyword(s):  
Regression Model ◽  
Marketing Channel ◽  
Educational Status ◽  
Weibull Regression ◽  
Service Sectors ◽  
Weibull Regression Model ◽  
Parametric Survival ◽  
Prospective Study Design ◽  
Significant Factors ◽  
Survival Regression

The contributions of small and medium-sized enterprises (SMEs) to socio-economic development are generally recognized, but they have faced several obstacles that impede their sustainability. This manuscript seeks to identify factors for the survival of SMEs in the East Gojjam Zone, Ethiopia. The prospective study design was employed. Both descriptive and inferential statistics, particularly families of parametric survival regression models, have been used. Of the 650 enterprises included in this study, 330 (50.8%) were censored (sustained enterprises) and the remaining 320 (49.2%) were events or withdrawn enterprises. The findings of this study revealed that the incidence of termination or withdrawal of SMEs in the study area is relatively common. The results from multivariable Weibull regression model revealed that woreda, sector, manger profile (gender, age, educational status, experience (in year) and source of experience), working place, marketing channel and profitability district status of enterprise were found to be statistically significant factors for the sustainability of enterprises in the study area. The bodies concerned, in particular the enterprise administrative offices at various levels, should work with collaborative organizations to develop a strong marketing platform (network), should be able to make workplaces accessible with the required infrastructure at minimal rental costs, and should prioritize the type of sector that has the highest customer needs at the onset, for instance, agriculture and service sectors.

scholarly journals The Bivariate Kumaraswamy Weibull regression model: a complete classical and Bayesian analysis

2018 ◽  
Vol 25 (5) ◽  
pp. 523-544
Author(s):  
Juliana B. Fachini-Gomes ◽  
Edwin M. M. Ortega ◽  
Gauss M. Cordeiro ◽  
Adriano K. Suzuki
Keyword(s):  
Bayesian Analysis ◽  
Regression Model ◽  
Weibull Regression ◽  
Weibull Regression Model

Parametric Survival Modelling of Risk Factor of Tuberculosis Patients under DOTS Program at Hawassa Town, Ethiopia

2015 ◽  
Vol 4 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Fikadu Zawdie Chere ◽  
Yohannes Yebabe Tesfay ◽  
Fikre Enquoselassie
Keyword(s):  
Regression Model ◽  
Survival Data ◽  
Information Criterion ◽  
Major Health Problem ◽  
Weibull Regression ◽  
Tuberculosis Patients ◽  
Parametric Regression ◽  
Time To Death ◽  
Baseline Weight ◽  
Weibull Regression Model

Tuberculosis (TB) is a chronic infectious disease that has a major health problem over the centuries. This study assessed the risk factors associated with time to death among TB patients treated under directly observed short course treatment program in Health facilities in Hawassa city, Ethiopia. The authors analysed data from a cohort of 1604 TB patients recruited between September 2008 to September 2011. They apply the parametric regression model of survival data analysis. The best fitted parametric regression model is selected by using the Akaike information criterion (AIC). The AIC confirms that the Weibull regression model is found to be the best fit of the survival of tuberculosis patients under the DOTS program at Hawassa town, Ethiopia. The fit of the Weibull regression model result revealed that sex, age, baseline weight, HIV status, category of patients and year of enrolment are the significant factor for the survival of TB patients.

scholarly journals Categorical Data Analysis Using a Skewed Weibull Regression Model

Entropy ◽  
2018 ◽  
Vol 20 (3) ◽  
pp. 176 ◽  
Author(s):  
Renault Caron ◽  
Debajyoti Sinha ◽  
Dipak Dey ◽  
Adriano Polpo
Keyword(s):  
Data Analysis ◽  
Regression Model ◽  
Categorical Data ◽  
Categorical Data Analysis ◽  
Weibull Regression ◽  
Weibull Regression Model
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