Statistical Inference for Multi State Systems under the Generalized Modified Weibull Class

Pub Date : 2022-07-27 DOI:10.13052/jrss0974-8024.1521
A. Makrides
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Abstract

Multi state systems can be seen as semi-Markov processes by considering an arbitrary distribution function for sojourn times. Especially, in this work, the Modified Weibull distribution is employed to be the distribution of sojourn times with a shape parameter λλ such that is member of a distributions family that is closed under minima. Parameters estimators are provided and the proposed methodology is evaluated using a detailed simulation procedure.
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广义修正Weibull类下多态系统的统计推断
通过考虑逗留时间的任意分布函数,多状态系统可以看作是半马尔可夫过程。特别地,本文采用修正威布尔分布作为逗留时间的分布,其形状参数为λλ,使得逗留时间属于在极小值下闭合的分布族。提供了参数估计器,并使用详细的仿真程序对所提出的方法进行了评估。
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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