Maximum likelihood estimation based on type-i hybrid progressive censored competing risks data

Faculty Commerce Year: 2016
Type of Publication: ZU Hosted Pages:
Authors:
Journal: International Journal of Advanced Statistics and Probability, International Journal of Advanced Statistics and Probability, Volume:
Keywords : Maximum likelihood estimation based , type-i hybrid progressive    
Abstract:
This paper is concerned with the estimators problems of the generalized Weibull distribution based on Type-I hybrid progressive censoring scheme (Type-I PHCS) in the presence of competing risks when the cause of failure of each item is kno
   
     
 
       

Author Related Publications

  • Wael Shehta Abu El Azm Mansour, "The Sampling Distribution of the Maximum Likelihood Estimators for the Parameters of Beta-Binomial Distribution", International Mathematical Forum,, 2013 More
  • Wael Shehta Abu El Azm Mansour, "STATISTICAL ANALYSIS OF PROGRESSIVE HYBRID TYPE-II CENCORED COMPETING RISkS DATA", International Journal of Engineering and Applied Sciences, 2016 More
  • Wael Shehta Abu El Azm Mansour, "Estimations of competing lifetime data from inverse Weibull distribution under adaptive progressively hybrid censored", licensee AIMS Press, 2022 More

Department Related Publications

  • Hatem Elsayed Abdelwahied Semary, "أثر زيادة تركيزات ملوثات الهواء فى المناطق الحضرية على صحة الأطفال", جامعة الدول العربية - مصر, 2015 More
  • Hatem Elsayed Abdelwahied Semary, "الرضا الوظيفى لأعضاء هيئة التدريس والهيئة المعاونة والعاملين بكلية طب قصر العينى – جامعة القاهرة", جامعة القاهرة، مصر, 2016 More
  • Mohamed Elsayed Ahmed Mead, "STATISTICAL PROPERTIES FOR THE GENERALIZED COMPOUND GAMMA DISTRIBUTION", كلية التجارة - جامعة بنها, 2008 More
  • Osama Elsayed Eraky Mohamed Abokhasem, "Reliability Inferences of the Inverted NH Parameters via Generalized Type-II Progressive Hybrid Censoring with Applications", Symmetry, 2022 More
  • Mohamed Elsayed Ahmed Mead, "A New Generalization of Burr XII Distribution", Pakistan, 2014 More
Tweet