Generation of Continuous Multivariate Distributions for Statistical Applications
DOI10.1080/01966324.1984.10737145zbMath0565.62008OpenAlexW2319160235WikidataQ58117384 ScholiaQ58117384MaRDI QIDQ3680056
Mark E. Johnson, Chiang Wang, John S. Ramberg
Publication date: 1984
Published in: American Journal of Mathematical and Management Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/01966324.1984.10737145
Algorithmsmultivariate normalCauchyJohnson systemGumbelBurrbeta-Stacyelliptically contouredMorgensternAliKhintchine distributionsPlackett
Multivariate distribution of statistics (62H10) Multivariate analysis (62H99) Monte Carlo methods (65C05) Random number generation in numerical analysis (65C10)
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- Procedures to generate random matrices with noncentral distributions
- A Convenient Method for Generating Normal Variables
- A Generalization of the Gamma Distribution
- Remarks on a Multivariate Transformation
- Cumulative Frequency Functions
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