用数值评估和实际数据应用对分布截尾和未截尾有效性进行卡方型检验

IF 1.1 Q3 STATISTICS & PROBABILITY

Japanese Journal of Statistics and Data Science Pub Date : 2023-09-26 DOI:10.1007/s42081-023-00219-w

Haitham M. Yousof, Khaoula Aidi, G. G. Hamedani, Mohamed Ibrahim

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引用次数: 1

摘要

摘要本文引入了奇林德利指数分布的一种新的卡方检验方法。新的测试是Nikulin-Rao-Robson测试的延伸。新的测试是为适应正确的审查数据而量身定制的。通过数值模拟对新测试以及基线Nikulin-Rao-Robson测试的性能进行了评估。新的测试，以及基线Nikulin-Rao-Robson测试，也使用数据进行评估。此外，我们还给出了一些表征结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Chi-squared type test for distributional censored and uncensored validity with numerical assessments and real data applications

Abstract In this work, we introduce a new chi-squared type test the odd Lindley exponentiated gamma distribution. The new test is an extension of the Nikulin–Rao–Robson test. The new test is tailored to fit the right censored data. The performance of the new test, as well as the baseline Nikulin–Rao–Robson test, are evaluated via numerical simulation. The new test, as well as the baseline Nikulin–Rao–Robson test, are also evaluated using the data. Furthermore, we present some characterization results.

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来源期刊

Japanese Journal of Statistics and Data Science STATISTICS & PROBABILITY-

CiteScore

2.00

自引率

15.40%

发文量