软件可靠性M-O模型和逆线性模型的参数估计
Estimation of the Parameters for Musa-Okumoto and Inverse Linear Models in Software Reliability
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摘要: Musa-Okumoto模型和逆线性模型是研究软件可靠性的重要模型.给出了在分组数据下,M-O模型和逆线性模型中参数的最大似然估计及其存在的充分性条件,指出了4中的错误,并且给出了一个实例。Abstract: AbstractThe Musa-Okumoto and inverse linear models are important models dealing with software reliability. For grouped data, sufficient conditions are given for the existence of the maximum likelihood estimates of the parameters in Musa-Okumoto and inverse linear models. A mistake in 4 has been pointed out and some applying examples are discussed.