首页> 外文期刊>Reliability Engineering & System Safety >Analysis of two-dimensional warranty data considering global and local dependence of heterogeneous marginals
【24h】

Analysis of two-dimensional warranty data considering global and local dependence of heterogeneous marginals

机译:考虑异构边缘的全球和局部依赖的二维保修数据分析

获取原文
获取原文并翻译 | 示例
           

摘要

This paper conducts a two-dimensional warranty analysis on the data with heterogeneity in terms of both age and usage. Two models are developed to evaluate the severity of warranty claims. The first one uses a copula to describe the global dependence between the age and usage populations, whereas the second one further captures various local dependence in different warranty regions. Since the mixing proportions regarding heterogeneity are latent, the expectation maximization algorithm is proposed to estimate parameters and classify the warranty data. The likelihood ratio test is further utilized to determine the number of subpopulations. A comparison with two other models shows the superiority of the proposed one in terms of the Akaike information criterion. It is found that more than 85% of the claims are classified into normal failures, and local dependence structures might vary from a symmetric one to an asymmetric one. Meanwhile, as the sample size decreases, the heterogeneity of usage would vanish, and some local dependence structures would change.
机译:本文在年龄和使用方面对具有异质性的数据进行二维保修分析。开发了两种模型来评估保修声明的严重程度。第一个使用Copula来描述年龄和使用人群之间的全球依赖,而第二个进一步捕获不同保修区域的各种局部依赖。由于关于异质性的混合比例是潜伏的,因此提出了期望最大化算法来估计参数并对保修数据进行分类。似然比测试进一步用于确定群体的数量。与另外两个模型的比较显示了在Akaike信息标准方面提出的一个优势。发现超过85%的权利要求被分类为正常故障,并且局部依赖结构可能因对称的问题而异。同时,随着样本尺寸减小,使用的异质性将消失,并且一些局部依赖结构会改变。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号