Empirical models for evaluating errors i
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Jun Bai; Anthony J. Jakeman; Michael McAleer
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Article
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1995
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Elsevier Science
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English
β 366 KB
The paper examines how empirical models can be constructed to describe the dependence of the error in fitting data to parametric models of probability distributions on the type of distribution, sample size, parent parameter values and percentiles of interest. Such models are important in evaluating