On generalized start-up demonstration tests

On generalized start-up demonstration tests
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关于通用启动演示测试

DOI:
10.1007/s10479-012-1279-y
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发表时间:
2014
期刊:
Annals of Operations Research (Online first)
影响因子:
--
通讯作者:
Zhao Xian
Zhao Xian
中科院分区:
其他
文献类型:
--
作者:
Zhao Xian

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已经讨论了启动演示测试和各种扩展,其中根据某些标准接受或拒绝接受测试的单元。 CSTF、CSCF、TSCF 和 TSTF 是最著名的启动演示测试。本文介绍了两种较为通用的启动演示测试。 CSTF、TSTF、TSCF 和 CSCF 都是新测试的特殊情况。对于新的广义启动演示试验,在每次试验独立同分布试验的假设下,给出了期望、概率质量函数和试验长度分布以及单元接受或拒绝的概率的解析表达式。所有分析均基于有限马尔可夫链嵌入方法,避免了概率生成函数方法的复杂性,并使结果易于理解并易于扩展到非独立同分布。案例。此外,还提出了通用启动演示测试的最佳模型。最后,给出了一个数值例子,使我们的结果更加透明,并且可以展示新测试的优势。
Start-up demonstration tests and various extensions have been discussed, in which a unit under the test is accepted or rejected according to some criteria. CSTF, CSCF, TSCF and TSTF are most well known start-up demonstration tests. In this paper, two kinds of more general start-up demonstration tests are introduced. CSTF, TSTF, TSCF and CSCF are all special situations of the new tests. For the new generalized start-up demonstration tests, under the assumption of independent and identically distributed trials for each test, the analytic expressions for the expectation, the probability mass function and the distribution of the test length, as well as the probability of acceptance or rejection of the unit are given. All the analyses are based on the finite Markov chain imbedding approach which avoids the complexities of the probability generating function approach and makes the results readily understood and easily extended to the non-i.i.d. cases. Furthermore, an optimal model for generalized start-up demonstration tests is proposed. Finally, a numerical example is presented to make our results more transparent, and it can demonstrate the advantages of the new tests.
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