Prediction under an adaptive progressive type-II censoring scheme for Burr Type-XII distribution

被引:8
|
作者
Ateya, Saieed F. [1 ,2 ]
Amein, M. M. [1 ,3 ]
Mohammed, Heba S. [4 ,5 ]
机构
[1] Taif Univ, Fac Sci, Dept Math & Stat, At Taif, Saudi Arabia
[2] Assiut Univ, Fac Sci, Dept Math, Assiut, Egypt
[3] Al Azhar Univ, Fac Sci, Dept Math, Cairo, Egypt
[4] New Valley Univ, Fac Sci, Dept Math, El Kharga, Egypt
[5] Princess Nourah Bint Abdularhman Univ, Math Sci, Fac Sci, Riyadh, Saudi Arabia
关键词
An adaptive progressive type-II censoring scheme; one and two sample prediction schemes; MCMC algorithm; Burr-XII distribution; BAYESIAN PREDICTION; ORDER-STATISTICS; MODEL; BOUNDS; METHODOLOGY; MOMENTS; LIFE;
D O I
10.1080/03610926.2020.1808685
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this article, Burr type-XII distribution (BXIID) is employed to make one- and two-sample Bayesian prediction schemes for future order statistics and record values in case of adaptive progressive type-II censoring scheme (APTIICS). Real data set are presented as an application. Also, some numerical computations using simulated data from the underlying distribution in case of ATIIPCS are obtained.
引用
收藏
页码:4029 / 4041
页数:13
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