On Burr XII Distribution Analysis Under Progressive Type-II Hybrid Censored Data

2016 ◽  
Vol 19 (2) ◽  
pp. 665-683 ◽  
Author(s):  
M. Noori Asl ◽  
R. Arabi Belaghi ◽  
H. Bevrani
Author(s):  
Aisha Fayomi ◽  
Hamdah Al-Shammari

This paper deals with the problem of parameters estimation of the Exponential-Geometric (EG) distribution based on progressive type-II censored data. It turns out that the maximum likelihood estimators for the distribution parameters have no closed forms, therefore the EM algorithm are alternatively used. The asymptotic variance of the MLEs of the targeted parameters under progressive type-II censoring is computed along with the asymptotic confidence intervals. Finally, a simple numerical example is given to illustrate the obtained results.


Author(s):  
Rashad M. EL-Sagheer ◽  
Mustafa M. Hasaballah

In this paper, we discussed the estimation of the index Cpy for a 3-Burr-XII distribution based on Progressive Type-II censoring. The maximum likelihood and Bayes method have been used to obtain the estimating of the index Cpy. The Fisher information matrix has been used to construct approximate confidence intervals. Also, bootstrap confidence intervals (CIs) of the estimators have been obtained. The Bayesian estimates for the index Cpy have been obtained by the Markov Chain Monte Carlo method. Also, the credible intervals are constructed by using MCMC samples. Two real-datasets have been discussed using the proposed index.


2021 ◽  
Vol 42 (2) ◽  
pp. 318-335
Author(s):  
Neha Choudhary ◽  
Abhishek Tyagi ◽  
Bhupendra Singh

2019 ◽  
Vol 13 (2) ◽  
pp. 79-95
Author(s):  
Fatemeh Valizadeh Gamchi ◽  
Özlem Gürünlü Alma ◽  
Reza Arabi Belaghi

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