ABSTRACT

In this paper, we suggest a new efficient method, that yields two new point predictors, for predicting future order statistics, when the sample size remains fixed and when it is enlarged. The two suggested point predictors are constructed based on some characterization properties of order statistics via their distributions. A comprehensive simulation study is conducted on several distributions, among them is a mixture distribution, to evaluate the performance of the suggested predictors. Two examples of lifetime real data are analyzed in which several methods of the point predictions are compared.

中文翻译：

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预测未来订单统计的新方法

摘要

在本文中，我们提出了一种新的有效方法，当样本量保持固定和放大时，它会产生两个新的点预测因子，用于预测未来的订单统计量。这两个建议的点预测变量是基于订单统计的某些特征属性通过它们的分布构造的。对几种分布进行了全面的模拟研究，其中包括混合分布，以评估建议的预测变量的性能。分析了寿命真实数据的两个示例，其中比较了几种点预测方法。