A family of minimum quantile distance estimators for the three-parameter Weibull distribution

作者: T. J. Carmody , R. L. Eubank , V. N. LaRiccia

DOI: 10.1007/BF02932392

关键词:

摘要: A family of minimum quantile distance estimators, based on a subset the sample quantiles, is proposed for parameters three-parameter Weibull distribution. The estimation procedure applicable to either complete or censored samples and, through use associated measure, provides goodness-of-fit test model. estimators are both consistent and asymptotically normal in particular instance, optimal over class all same subset. problem selection also considered.

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