双毛刺型XII模型:用贝叶斯和非贝叶斯估计方法使用新的Nikulin-Rao-Robson拟合优度检验的删减和未删减验证

IF 1.1 Q3 STATISTICS & PROBABILITY

Pakistan Journal of Statistics and Operation Research Pub Date : 2022-12-05 DOI:10.18187/pjsor.v18i4.3600

M. Ibrahim, M. M. Ali, H. Goual, H. Yousof

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引用次数: 0

摘要

在研究了Double-Burr-XII模型的数学性质后，我们对其未知参数提出了贝叶斯和非贝叶斯估计。此外，我们构造了一个新的统计检验，在完全和截尾样本的情况下拟合优度。修正测试是基于Nikulin-Rao-Robson统计数据开发的，用于验证。对新测试进行了模拟评估，并对实际数据进行了九次应用。

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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

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.

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来源期刊

Pakistan Journal of Statistics and Operation Research STATISTICS & PROBABILITY-

CiteScore

3.30

自引率

26.70%

发文量

期刊介绍： Pakistan Journal of Statistics and Operation Research. PJSOR is a peer-reviewed journal, published four times a year. PJSOR publishes refereed research articles and studies that describe the latest research and developments in the area of statistics, operation research and actuarial statistics.