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- W1577265514 abstract "This paper introduces a flexible parametric density estimator which can be used to model distributions of test statistics with more than one mode, although the approach can also be used to approximate unimodal distributions which are either fat-tailed, or skewed, or both. The parametric density estimator is derived from a generalization of the Pearson family. Recurrence formulae are given for particular subordinate distributions of the generalized Pearson family whichare used to generate consistent parameter estimates based on method of moments estimation. The parametric density estimator is applied to approximating the distributions of three test statistics when the distributions are bimodal and the" @default.
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- W1577265514 date "1993-01-01" @default.
- W1577265514 modified "2023-10-18" @default.
- W1577265514 title "A flexible parametric density estimator for multimodal distributions of test statistics" @default.
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- W1577265514 doi "https://doi.org/10.1080/03610919308813127" @default.
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