Statistical Inference of Generalized Time- Dependent Logistic Hazard Model | ||||
The Egyptian Statistical Journal | ||||
Article 7, Volume 62, Issue 2, December 2018, Page 56-68 PDF (378.14 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/esju.2018.314397 | ||||
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Authors | ||||
Ahmed A. El-Sheikh1; Amaal Mubarak2; Fatma G. Abdelmaksoud3 | ||||
1Institute of statistical studies and Research, Cairo University, Egypt | ||||
2Faculty of Commerce, Damietta University, Egypt | ||||
3Faculty of Commerce, Al-Azhar University, Egypt | ||||
Abstract | ||||
In this paper ,we extend the generalized time-dependtent logistic hazard model (GTDL)proposed by Mackenzie (1996) by using the hazard function of weibull distribution instead of the baseline hazard function as no form was assumed in this model. thus a modified from called ''generalized time dependent-weibull logistic hazard (GTD-WL)model''. The maximum likelihood method used to estimate the unknown parameters of the proposed model. Also , we obtained some special cases from this model. A simulation study examines the bais and the mean squared errors of the maximum likelihood estimates for the proposed model comparing with three other models . | ||||
Keywords | ||||
Logistic hazard model; Baseline hazard function | ||||
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