Fast fifth-order polynomial transforms for generating univariate and multivariate nonnormal distributions.
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Publication:1852884
DOI10.1016/S0167-9473(02)00072-5zbMath1103.65302OpenAlexW2020909146MaRDI QIDQ1852884
Publication date: 21 January 2003
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0167-9473(02)00072-5
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Uses Software
Cites Work
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- A method for simulating non-normal distributions
- Simulating multivariate nonnormal distributions
- On simulating non-normal distributions
- Simulating correlated multivariate nonnormal distributions: extending the Fleishman power method
- An empirical study of the type I error rate and power for some selected normal-theory and nonparametric tests of the independence of two sets of variables
- An empirical study of five multivariate tests for the single-factor repeated measures model
- Properties of the rank transformation in factorial analysis of covariance
- An approximate method for generating asymmetric random variables
- SYSTEMS OF FREQUENCY CURVES GENERATED BY METHODS OF TRANSLATION
- Cumulative Frequency Functions
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