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一种基于威布尔分布的异质性评分检验。

A Weibull-based score test for heterogeneity.

作者信息

Kimber A C

机构信息

Department of Mathematical and Computing Sciences, University of Surrey, Guildford, UK.

出版信息

Lifetime Data Anal. 1996;2(1):63-71. doi: 10.1007/BF00128471.

DOI:10.1007/BF00128471
PMID:9384649
Abstract

The Weibull distribution is a natural starting point in the modelling of failure times in reliability, material strength data and many other applications that involve lifetime data. In recent years there has been a growing interest in modelling heterogeneity within this context. A natural approach is to consider a mixture, either discrete or continuous, of Weibull distributions. A judicious choice of mixing distribution yields a tractable and flexible generalization of the Weibull distribution. In this note a score test for detecting heterogeneity in this context is discussed and illustrated using some infant nutrition data.

摘要

威布尔分布是可靠性、材料强度数据以及许多其他涉及寿命数据的应用中对失效时间进行建模的自然起点。近年来,在这种背景下对异质性建模的兴趣日益浓厚。一种自然的方法是考虑威布尔分布的离散或连续混合。对混合分布进行明智的选择会产生一种易于处理且灵活的威布尔分布推广。在本笔记中,讨论了用于在此背景下检测异质性的得分检验,并使用一些婴儿营养数据进行了说明。

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1
Assessing gamma frailty models for clustered failure time data.评估用于聚类失效时间数据的伽马脆弱性模型。
Lifetime Data Anal. 1995;1(2):205-20. doi: 10.1007/BF00985771.
2
Frailty models of manufacturing effects.制造效应的脆弱性模型。
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Lifetime Data Anal. 1995;1(2):145-56; discussion 157-9. doi: 10.1007/BF00985764.
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