Bayesian Non-parametric Estimation in Proportional Hazard Models - Saad, Ayman A. M.
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This research discusses some of important models and methodology of inferences relating to life tests and survival studies. Some of the basic important concepts in survival models and the various schemes of censoring are outlined briefly in Chapter 2. Chapter 3 briefly detours to the main concepts of the Bayesian modeling which will be as the basis tool for analyzing the survival models in the remaining chapters of this research. The next three chapters build up Bayesian nonparametric procedure to estimate the parameters of interest in both proportional and additive hazards mode. The author…mehr

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Produktbeschreibung
This research discusses some of important models and methodology of inferences relating to life tests and survival studies. Some of the basic important concepts in survival models and the various schemes of censoring are outlined briefly in Chapter 2. Chapter 3 briefly detours to the main concepts of the Bayesian modeling which will be as the basis tool for analyzing the survival models in the remaining chapters of this research. The next three chapters build up Bayesian nonparametric procedure to estimate the parameters of interest in both proportional and additive hazards mode. The author use the WinBUGS software in order illustrates the Bayesian approach in survival models.Throughout the research, the inference procedures are illustrated with numerical examples and with real data sets collected from an insurance company in Egypt.
Autorenporträt
I have graduated from college of Science, Cairo University in 1992, Mathematical Statistics . From 1995 till 2007, My work was in Egyptian Egyptian Financial Supervisory Authority (EFSA) as specialist in the Actuary Department. From the end of 2007 up till now, my work in the College of Science, Al Imam University (IMSIU) as Assistant Professor.