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Weibull Estimates in Reliability: An Order Statistics Approach

机译:Weibull估计可靠性:订单统计方法

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The Exponential and Weibull distributions are well-known failure time distributions in reliability theory and survival analysis. Order statistics occur naturally in life testing and in survival analysis. The properties of order statistics and the results of order statistics are used to estimate the three-parameter Weibull distributions. This study ranges from order statistics to distribution theory and then to survival analysis. To know the survival distribution function S(t), many distributional forms have been used. Moments of order statistics help us to estimate the one-parameter and two-parameter forms, but to estimate the three-parameter Weibull distribution is a challenging one. Hence we make this study as a twofold study: firstly, to study the order statistics for Weibull distributions and their moments, and secondly, apply the computed moments of order statistics to estimate the location and scale parameters (with the shape parameter being fixed) based on complete as well as type II right-censored samples. To achieve the goal, data have been simulated for the failure time and their moments estimated based on the order statistics, and we explained how the conventional estimators play their role in reliability in order to verify the accuracy of the numerical computations.
机译:指数和Weibull分布是可靠性理论和生存分析中的知名失效时间分布。订单统计在生命测试和生存分析中自然发生。订单统计数据和订单统计结果的属性用于估计三参数Weibull分布。本研究范围从订单统计到分布理论,然后生存分析。为了了解生存分布函数S(t),已经使用了许多分布形式。订单统计的时刻帮助我们估计一个参数和双参数表单,而是估计三参数Weibull分布是一个具有挑战性的。因此,我们将这项研究作为一个双重研究:首先,要研究Weibull分布和他们的时刻的订单统计数据,其次,将计算的订单统计量应用于估计位置和比例参数(具有固定的形状参数)完整的以及II型正确的样本。为了实现目标,已经模拟了数据的失败时间和基于订单统计的估计的矩,并且我们解释了传统估计器如何在可靠性中发挥作用,以验证数值计算的准确性。

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