Abstract

In this article, we propose two new scale invariant test statistics when the available data are subject to progressively Type-II censoring. The proposed tests are based on Gini index of spacings. It is observed thorough extensive Monte Carlo simulations that the proposed tests are quite powerful in compare to similar existing goodness-of-fit tests studied by Balakrishnan et al. and Wang. We also illustrate the method proposed here using a real data from reliability literature.

中文翻译：

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基于渐进式 II 型删失数据间距基尼指数的拟合优度检验

摘要

在本文中，当可用数据受到逐步 II 型审查时，我们提出了两种新的尺度不变检验统计量。所提出的测试基于间距基尼指数。通过彻底广泛的蒙特卡罗模拟观察发现，与 Balakrishnan 等人研究的类似现有拟合优度检验相比，所提出的检验非常强大。和王。我们还使用可靠性文献中的真实数据来说明此处提出的方法。