The Double Burr Type XII Model: Censored and Uncensored Validation Using a New Nikulin-Rao-Robson Goodness-of-Fit Test with Bayesian and Non-Bayesian Estimation Methods

被引:1
|
作者
Ibrahim, Mohamed [1 ]
Ali, M. Masoom [2 ]
Goual, Hafida [3 ]
Yousof, Haitham M. [4 ]
机构
[1] Damietta Univ, Fac Commerce, Dept Appl Math & Actuarial Stat, Dumyat, Egypt
[2] Ball State Univ, Dept Math Sci, Muncie, IN 47306 USA
[3] Univ Badji Mokhtar, Lab Probabil & Stat, Annaba, Algeria
[4] Benha Univ, Dept Stat Math & Insurance, Banha, Egypt
关键词
Barzilai-Borwein Algorithm; Bayesian Estimation; Validation Nikulin-Rao-Robson; Metropolis Hastings Algorithm; MCMC; Censoring Data; Renyi Entropy; Shannon Entropy; GENERAL EXPONENTIAL CLASS; SQUARE TYPE TEST; MATHEMATICAL PROPERTIES; STATISTICAL PROPERTIES; G FAMILY; DISTRIBUTIONS PROPERTIES; LIFETIME DISTRIBUTION; FRECHET DISTRIBUTION; COPULA; SYSTEM;
D O I
10.18187/pjsor.v18i4.3600
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
After studying the mathematical properties of the Double Burr XII model, we present Bayesian and non-Bayesian estimation for its unknown parameters. Also, we constructed a new statistical test for goodness-of-fit in case of complete and censored samples. The modified test is developed based on the Nikulin-Rao-Robson statistic for validation. Simulations are performed for assessing the new test along with nine applications on real data.
引用
收藏
页码:901 / 927
页数:27
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