Said Gamal Nassr Mohamed <br/><br/>
Bayesian and non  bayesian estimation based on generalized order statistics for lifetime distribution /  
  التقدير البييزى واللابييزى فى ضوء الإحصاءات الترتيبية المعممة لتوزيع الحياه  
Said Gamal Nasser Mohamed Nassr ; Supervised Abdallah Mohamed Abdelfattah , Amal Soliman Hassan   
 - Cairo :   Said Gamal Nasser Mohamed ,   2015 
 - 170 Leaves :   charts ;   30cm 
<br/><br/>Thesis (Ph.D.) - Cairo University - Institute of Statistical Studies & Research - Department of Mathematical Statistics  
<br/><br/> In this thesis, presents point estimates of parameters for exponentiated Weibull  Poisson distribution based on generalized order statistics using maximum likelihood  and Bayesian methods. The asymptotic variances and covariance matrix and  confidence interval estimates of parameters are derived based on generalized order  statistics. Maximum likelihood and Bayesian predictive (point and interval) of the  first future observations are obtained based on generalized order statistics. All  results are specialized to type II censored data and upper record values. Bayesian  prediction estimators of the first future observation from exponentiated Weibull  Poisson distribution are obtained by using different loss functions. All estimation  algorithms and numerical studies are carried out to asses these effects using  MathCAD (14) statistical package 
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<br/><br/><label>Subjects--Index Terms: </label>Bayesian method Exponentiated Weibull Poisson distribution Generalized order statistics