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Goodness of Fit Tests for the Weibull and the Extreme Value Distribution with Estimated Parameters

机译:Weibull拟合优度及具有估计参数的极值分布

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In this paper we consider the problem of testing the null hypothesis that a given random sample belongs to a Weibull of an extreme value distribution with unknown parameters. The test statistics are those based on the empirical distribution function, and tables of critical values are provided. The asymptotic points have been obtained by a pooling of two methods. In the first method the percentage points for finite n are plotted and extrapolated to infinity. In the second method, the appropriate asymptotic process is simulated and its percentiles, which give the critical points, thus estimated. Some difficulties in simulating the asymptotic process are discussed, and a comparison between two methods is discussed. (Author)

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