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Optimum Group Limits for Maximum LikelihoodEstimation of the Exponentiated Fr??chetDistribution Based on Grouped Data

机译:基于分组数据的指数Fr ?? chet分布的最大似然估计的最佳组限制

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In many situations, instead of a complete sample, data are available only in grouped form. In this situation the values of individual observations are not known, but the number of observations that fall in each group is only known. Here the model under consideration is the exponentiated Fréchet distribution. The aim of this paper is finding the MLE's for the parameters of the exponentiated Fréchet distribution based on grouped data. The asymptotic variance-covariance matrix has been derived and computed numerically. Optimal group limits in the case unequi-spaced groupings so as to have a maximum asymptotic relative efficiency are worked out.
机译:在许多情况下,数据不是完整的示例,而是仅以分组形式提供。在这种情况下,单个观测值的值是未知的,但是每个组中的观测值的数量仅是已知的。这里考虑的模型是指数Fréchet分布。本文的目的是基于分组数据找到指数Fréchet分布参数的MLE。渐近方差-协方差矩阵已经导出并通过数值计算。计算了在不等距分组中的最佳分组极限,以便具有最大的渐近相对效率。

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