...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Quality Control and Applied Statistics >Statistical methods for combining information: Stryker family of vehicles reliability case study
【24h】

Statistical methods for combining information: Stryker family of vehicles reliability case study

机译：结合信息的统计方法：Stryker系列车辆可靠性案例研究

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

To data sources are many and their analysis in isolation may not give the correct information of the combined effect of all the data available. There are many applications where data from different sources are combined in one sample as in the case of medical field where meta-analysis is carried out in which many clinical trials are combined for single analysis. In the Department of Defense (DoD) data are collected at various phases of tests. One of the primary tasks is to combine the data from various sources and facilitate data sharing among various testing agencies. However not many studies have been undertaken to highlight the benefits of combining information. There are many difficulties in combining these data sets as they are generated by different types of test environments. Reliability is the probability that a system will perform its intended function under appropriate operating conditions for a specified period of time. It is an essential component in the assessment of the operational suitability of many major defense systems. The current analyses employed by Director, Operational Test & Evaluation and many of the services' operational test agencies use only operational test data in assessing operational reliability. Operational test data are collected under a limited set of test conditions. Using only operational test data ensures that the results will be representative of the reliability under in the field condition. However, valuable information from previous testing on system reliability are ignored in this process. This paper explores both frequentist and Bayesian inference techniques to combine information for the Stryker family of vehicles (FOV) from two test phases: the developmental test phase and the operational test phase. (26 refs.)
机译：数据来源很多，它们的分析孤立可能不会提供所有可用数据的组合效果的正确信息。存在许多应用，其中来自不同源的数据在一个样品中组合，如在进行Meta分析的医疗领域，其中许多临床试验组合单一分析。在国防部（DOD）数据以各个阶段收集。其中一个主要任务是将来自各种来源的数据组合并促进各种测试代理中的数据共享。然而，已经进行了许多研究以突出结合信息的益处。在组合这些数据集时存在许多困难，因为它们由不同类型的测试环境生成。可靠性是系统在特定时间段内在适当的操作条件下执行其预期功能的概率。评估许多主要防御系统的运营适用性的重要组成部分。主管，运营测试和评估和许多服务的运营测试机构采用的目前分析仅在评估运营可靠性时使用运营测试数据。在一组有限的测试条件下收集操作测试数据。仅使用操作测试数据确保结果将代表现场条件下的可靠性。但是，在此过程中忽略了先前对系统可靠性测试的有价值的信息。本文探讨了频率和贝叶斯推理技术，将斯特克尔系列车辆（FOV）的信息与两个测试阶段相结合：发展试验阶段和操作试验阶段。 （26 refs。）

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