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Detection of Reliable Software Using SPRT on Interval Domain Data

机译:在间隔域数据上使用SPRT检测可靠的软件

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In Classical Hypothesis testing volumes of data is to be collected and then the conclusions are drawn which may take more time. But, Sequential Analysis of statistical science could be adopted in order to decide upon the reliable / unreliable of the developed software very quickly. The procedure adopted for this is, Sequential Probability Ratio Test (SPRT). In the present paper we proposed the performance of SPRT on Interval domain data using Weibull model and analyzed the results by applying on 5 data sets. The parameters are estimated using Maximum Likelihood Estimation
机译:在经典假设中,要收集大量数据,然后得出结论,这可能需要更多时间。但是,可以采用统计科学的顺序分析来快速确定所开发软件的可靠/不可靠。为此采用的程序是顺序概率比率测试(SPRT)。在本文中,我们使用Weibull模型提出了SPRT在间隔域数据上的性能,并通过将其应用于5个数据集来分析了结果。使用最大似然估计来估计参数

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