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SCALE TESTING IN SMALL SAMPLES WITH MISSING TIME-TO-FAILURE INFORMATION

机译:缺少失效时间信息的小样本中的大规模测试

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摘要

We provide the exact likelihood ratio testing procedure of the scale parameter of the Erlang and gamma distribution when there is a missing time-to-failure information. This is an important result because the asymptotical χ~2-test is oversized an thus inappropriate especially for small merged samples. The small merged samples can arise also for a large sample sizes, e.g. when individual times-to-failure are not available. Data sets with missing time-to-failure data can arise from field data collection systems. Real data and simulated examples are provided to illustrate the methods discussed.
机译:当缺少失效时间信息时,我们提供Erlang和gamma分布的比例参数的精确似然比测试程序。这是一个重要的结果,因为无症状的χ2检验过大,因此特别不适用于合并的小样本。小合并的样本也可能出现在大样本大小时,例如:无法提供个别的失效时间。缺少故障时间数据的数据集可能来自现场数据收集系统。提供了实际数据和模拟示例来说明所讨论的方法。

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