شماره ركورد كنفرانس :
4109
عنوان مقاله :
Bayesian a-optimal designs for right random censored
پديدآورندگان :
Aminnejad M Department of Statistics, Faculty of Sciences,Razi University, Kermanshah, Iran , Jafari H Department of Statistics, Faculty of Sciences,Razi University, Kermanshah, Iran
كليدواژه :
Bayesian optimal designs , Censored data , Cox regression model , Fisher information
عنوان كنفرانس :
يازدهمين سمينار ملي احتمال و فرآيندهاي تصادفي
چكيده فارسي :
This paper considers the Bayesian A-optimal designs for Cox regression model with constant hazard when the data are right random censored. To do this we first obtain the Fisher Information matrix and relevant relations. It is seen the the Fisher Information matrix depends on the unknown
parameters so by implementing the Bayesian framework, some robust optimal designs are calculated. The results of this paper can be applied in medical and engineering to conduct more accurate experimental designs
