On Pearson–Kotz Dirichlet distributions
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- McMaster University Canada
- University of Lausanne Switzerland
- McMaster University (McMaster Centre for Software Certification) Canada
- University Of Lausanne Switzerland
Statistics and Probability, Numerical Analysis, t-distribution, Dirichlet distribution, Central limit and other weak theorems, beta distribution, Beta distribution, Pearson–Kotz Dirichlet distribution, Extreme value theory; extremal stochastic processes, Kotz type distribution, Conditional excess distribution, Elliptically symmetric distribution, Pearson-Kotz Dirichlet distribution, Beta distribution of second, Conditional limiting theorem, Probability distributions: general theory, conditional limiting theorem, elliptically symmetric distribution, beta distribution of second, conditional excess distribution, Statistics, Probability and Uncertainty, \(t\)-distribution
Statistics and Probability, Numerical Analysis, t-distribution, Dirichlet distribution, Central limit and other weak theorems, beta distribution, Beta distribution, Pearson–Kotz Dirichlet distribution, Extreme value theory; extremal stochastic processes, Kotz type distribution, Conditional excess distribution, Elliptically symmetric distribution, Pearson-Kotz Dirichlet distribution, Beta distribution of second, Conditional limiting theorem, Probability distributions: general theory, conditional limiting theorem, elliptically symmetric distribution, beta distribution of second, conditional excess distribution, Statistics, Probability and Uncertainty, \(t\)-distribution
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