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首页> 外文期刊>Journal of Theoretical and Applied Information Technology >DETECTION OF BURR TYPE III RELIABLE SOFTWARE USING SPRT: AN ORDER STATISTIC APPROACH
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DETECTION OF BURR TYPE III RELIABLE SOFTWARE USING SPRT: AN ORDER STATISTIC APPROACH

机译:使用SPRT检测毛刺III型可靠软件:订单统计方法

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摘要

The acceptance of a software system depends on its reliability. Assessing reliability takes more time using classical hypothesis as the volume of data increases day by day. The volumes of data can be transformed using order statistics. Order statistics deals with applications of ordered random variables and functions of these variables. Sequential Analysis of Statistical science is very quick in deciding the reliability or unreliability on developed software. The method adopted is, Sequential Probability Ratio Test (SPRT) for continuous monitoring of the software. The likelihood based SPRT proposed by Wald is very general and it can be used for many different probability distributions. In this paper, the mean value function of Burr type III distribution based on Non-Homogenous Poisson Process (NHPP) with Order statistics and Sequential Probability Ratio Test is applied to analyze the results. Maximum Likelihood Estimation (MLE) is used to derive the unknown parameters of mean value function.
机译:验收软件系统取决于其可靠性。评估可靠性使用经典假设需要更多时间,因为数据量日复一日增加。可以使用订单统计来转换数据卷。订单统计信息处理有序随机变量的应用程序和这些变量的函数。统计科学的顺序分析非常迅速决定开发软件上的可靠性或不可靠性。采用的方法是,连续监控软件的顺序概率比测试(SPRT)。 WALD提出的基于可能的SPRT非常一般,它可用于许多不同的概率分布。本文采用了基于非均质泊松过程(NHPP)与顺序统计和顺序概率比试验的毛刺III分布的平均值函数来分析结果。最大似然估计(MLE)用于导出平均值函数的未知参数。

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